docs/visualize_var.ipynb

{
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    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/pinellolab/crispr-bean/blob/main/docs/visualize_var.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%pip install -U kaleido"
      ],
      "metadata": {
        "id": "8qCzb-zVBE0m",
        "outputId": "66e39fe9-246c-4d9c-e5d8-4362e45f9963",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "id": "8qCzb-zVBE0m",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: kaleido in /usr/local/lib/python3.10/dist-packages (0.2.1)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "c88e49ae",
      "metadata": {
        "id": "c88e49ae"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns\n",
        "import matplotlib\n",
        "import matplotlib.pyplot as plt\n",
        "import logging\n",
        "import plotly.express as px\n",
        "logging.getLogger('matplotlib.font_manager').disabled = True"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "fb2bb3f0",
      "metadata": {
        "id": "fb2bb3f0"
      },
      "outputs": [],
      "source": [
        "try:\n",
        "    scores_tbl = pd.read_csv(\"../tests/data/var_res_example/bean_element_result.MixtureNormal+Acc.csv\")\n",
        "except:\n",
        "    os.system(\"wget https://raw.githubusercontent.com/pinellolab/crispr-bean/main/tests/data/var_res_example/bean_element_result.MixtureNormal+Acc.csv\")\n",
        "    scores_tbl = pd.read_csv(\"bean_element_result.MixtureNormal+Acc.csv\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "ee9759c6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "ee9759c6",
        "outputId": "f817b0ce-96e1-4f19-865c-744c067f4109"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Unnamed: 0                        target      target_variant  \\\n",
              "0             0      1:198994696TAT_Maj_ABE_1      1:198994696TAT   \n",
              "1             1      2:62866173TAT_Maj_ABE_12       2:62866173TAT   \n",
              "2             2    2:118868389AAACA_Maj_ABE_8    2:118868389AAACA   \n",
              "3             3  2:118873095TAACTCT_Maj_ABE_9  2:118873095TAACTCT   \n",
              "4             4     2:164588224GAG_Maj_ABE_10      2:164588224GAG   \n",
              "..          ...                           ...                 ...   \n",
              "689         689       rs551641295_Maj_ABE_230         rs551641295   \n",
              "690         690       rs569255498_Maj_ABE_236         rs569255498   \n",
              "691         691       rs573638413_Maj_ABE_239         rs573638413   \n",
              "692         692       rs751373206_Min_ABE_557         rs751373206   \n",
              "693         693       rs771555783_Maj_ABE_309         rs771555783   \n",
              "\n",
              "    target_group target_group2  n_guides  edit_rate_mean  edit_rate_std  \\\n",
              "0        Variant       Variant         4        0.010273       0.013362   \n",
              "1        Variant       Variant         5        0.433628       0.089953   \n",
              "2        Variant       Variant         5        0.030458       0.047397   \n",
              "3        Variant       Variant         5        0.002222       0.001557   \n",
              "4        Variant       Variant         5        0.116386       0.141857   \n",
              "..           ...           ...       ...             ...            ...   \n",
              "689      Variant       Variant         5        0.147445       0.096167   \n",
              "690      Variant       Variant         5        0.382273       0.066261   \n",
              "691      Variant       Variant         5        0.118029       0.068900   \n",
              "692      Variant       Variant         5        0.563968       0.138646   \n",
              "693      Variant       Variant         5        0.227160       0.215797   \n",
              "\n",
              "           mu     mu_sd  ...  mu_sd_scaled  mu_z_scaled  sd_scaled  \\\n",
              "0   -0.385880  0.920580  ...      0.744880    -0.402463   0.810453   \n",
              "1   -0.843894  0.588320  ...      0.476034    -1.408272   0.810774   \n",
              "2   -0.551011  0.944183  ...      0.763978    -0.567296   0.810062   \n",
              "3    0.182452  1.215923  ...      0.983855     0.162701   0.810410   \n",
              "4   -0.481787  0.787499  ...      0.637199    -0.592263   0.810809   \n",
              "..        ...       ...  ...           ...          ...        ...   \n",
              "689  2.399288  0.644782  ...      0.521720     3.744941   0.809187   \n",
              "690 -1.486694  0.512715  ...      0.414860    -2.869650   0.809790   \n",
              "691  0.216656  1.052363  ...      0.851512     0.220491   0.806723   \n",
              "692 -1.197128  0.272471  ...      0.220468    -4.337156   0.811250   \n",
              "693 -0.489716  0.689426  ...      0.557844    -0.688015   0.810537   \n",
              "\n",
              "     novl_scaled    mu_adj  mu_sd_adj  mu_z_adj  novl_adj  CI[0.025    0.975]  \n",
              "0       0.186337 -0.385880   2.087246 -0.184875  0.350261 -4.476806  3.705047  \n",
              "1       0.454148 -0.843894   1.333906 -0.632649  0.302086 -3.458303  1.770514  \n",
              "2       0.221399 -0.551011   2.140760 -0.257391  0.369167 -4.746824  3.644802  \n",
              "3       0.064634  0.182452   2.756881  0.066180  0.453851 -5.220936  5.585839  \n",
              "4       0.266669 -0.481787   1.785510 -0.269832  0.296102 -3.981322  3.017747  \n",
              "..           ...       ...        ...       ...       ...       ...       ...  \n",
              "689     0.813649  2.399288   1.461923  1.641186  0.678923 -0.466029  5.264605  \n",
              "690     0.655515 -1.486694   1.162488 -1.278890  0.510790 -3.765128  0.791740  \n",
              "691     0.106352  0.216656   2.386039  0.090801  0.398343 -4.459895  4.893206  \n",
              "692     0.737159 -1.197128   0.617777 -1.937800  0.562122 -2.407949  0.013693  \n",
              "693     0.320325 -0.489716   1.563146 -0.313289  0.249471 -3.553427  2.573995  \n",
              "\n",
              "[694 rows x 23 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>target</th>\n",
              "      <th>target_variant</th>\n",
              "      <th>target_group</th>\n",
              "      <th>target_group2</th>\n",
              "      <th>n_guides</th>\n",
              "      <th>edit_rate_mean</th>\n",
              "      <th>edit_rate_std</th>\n",
              "      <th>mu</th>\n",
              "      <th>mu_sd</th>\n",
              "      <th>...</th>\n",
              "      <th>mu_sd_scaled</th>\n",
              "      <th>mu_z_scaled</th>\n",
              "      <th>sd_scaled</th>\n",
              "      <th>novl_scaled</th>\n",
              "      <th>mu_adj</th>\n",
              "      <th>mu_sd_adj</th>\n",
              "      <th>mu_z_adj</th>\n",
              "      <th>novl_adj</th>\n",
              "      <th>CI[0.025</th>\n",
              "      <th>0.975]</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0</td>\n",
              "      <td>1:198994696TAT_Maj_ABE_1</td>\n",
              "      <td>1:198994696TAT</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>4</td>\n",
              "      <td>0.010273</td>\n",
              "      <td>0.013362</td>\n",
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              "      <td>0.920580</td>\n",
              "      <td>...</td>\n",
              "      <td>0.744880</td>\n",
              "      <td>-0.402463</td>\n",
              "      <td>0.810453</td>\n",
              "      <td>0.186337</td>\n",
              "      <td>-0.385880</td>\n",
              "      <td>2.087246</td>\n",
              "      <td>-0.184875</td>\n",
              "      <td>0.350261</td>\n",
              "      <td>-4.476806</td>\n",
              "      <td>3.705047</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1</td>\n",
              "      <td>2:62866173TAT_Maj_ABE_12</td>\n",
              "      <td>2:62866173TAT</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.433628</td>\n",
              "      <td>0.089953</td>\n",
              "      <td>-0.843894</td>\n",
              "      <td>0.588320</td>\n",
              "      <td>...</td>\n",
              "      <td>0.476034</td>\n",
              "      <td>-1.408272</td>\n",
              "      <td>0.810774</td>\n",
              "      <td>0.454148</td>\n",
              "      <td>-0.843894</td>\n",
              "      <td>1.333906</td>\n",
              "      <td>-0.632649</td>\n",
              "      <td>0.302086</td>\n",
              "      <td>-3.458303</td>\n",
              "      <td>1.770514</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2</td>\n",
              "      <td>2:118868389AAACA_Maj_ABE_8</td>\n",
              "      <td>2:118868389AAACA</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.030458</td>\n",
              "      <td>0.047397</td>\n",
              "      <td>-0.551011</td>\n",
              "      <td>0.944183</td>\n",
              "      <td>...</td>\n",
              "      <td>0.763978</td>\n",
              "      <td>-0.567296</td>\n",
              "      <td>0.810062</td>\n",
              "      <td>0.221399</td>\n",
              "      <td>-0.551011</td>\n",
              "      <td>2.140760</td>\n",
              "      <td>-0.257391</td>\n",
              "      <td>0.369167</td>\n",
              "      <td>-4.746824</td>\n",
              "      <td>3.644802</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>3</td>\n",
              "      <td>2:118873095TAACTCT_Maj_ABE_9</td>\n",
              "      <td>2:118873095TAACTCT</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.002222</td>\n",
              "      <td>0.001557</td>\n",
              "      <td>0.182452</td>\n",
              "      <td>1.215923</td>\n",
              "      <td>...</td>\n",
              "      <td>0.983855</td>\n",
              "      <td>0.162701</td>\n",
              "      <td>0.810410</td>\n",
              "      <td>0.064634</td>\n",
              "      <td>0.182452</td>\n",
              "      <td>2.756881</td>\n",
              "      <td>0.066180</td>\n",
              "      <td>0.453851</td>\n",
              "      <td>-5.220936</td>\n",
              "      <td>5.585839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>4</td>\n",
              "      <td>2:164588224GAG_Maj_ABE_10</td>\n",
              "      <td>2:164588224GAG</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.116386</td>\n",
              "      <td>0.141857</td>\n",
              "      <td>-0.481787</td>\n",
              "      <td>0.787499</td>\n",
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              "      <td>0.637199</td>\n",
              "      <td>-0.592263</td>\n",
              "      <td>0.810809</td>\n",
              "      <td>0.266669</td>\n",
              "      <td>-0.481787</td>\n",
              "      <td>1.785510</td>\n",
              "      <td>-0.269832</td>\n",
              "      <td>0.296102</td>\n",
              "      <td>-3.981322</td>\n",
              "      <td>3.017747</td>\n",
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              "    <tr>\n",
              "      <th>689</th>\n",
              "      <td>689</td>\n",
              "      <td>rs551641295_Maj_ABE_230</td>\n",
              "      <td>rs551641295</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.147445</td>\n",
              "      <td>0.096167</td>\n",
              "      <td>2.399288</td>\n",
              "      <td>0.644782</td>\n",
              "      <td>...</td>\n",
              "      <td>0.521720</td>\n",
              "      <td>3.744941</td>\n",
              "      <td>0.809187</td>\n",
              "      <td>0.813649</td>\n",
              "      <td>2.399288</td>\n",
              "      <td>1.461923</td>\n",
              "      <td>1.641186</td>\n",
              "      <td>0.678923</td>\n",
              "      <td>-0.466029</td>\n",
              "      <td>5.264605</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>690</th>\n",
              "      <td>690</td>\n",
              "      <td>rs569255498_Maj_ABE_236</td>\n",
              "      <td>rs569255498</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.382273</td>\n",
              "      <td>0.066261</td>\n",
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              "      <td>0.510790</td>\n",
              "      <td>-3.765128</td>\n",
              "      <td>0.791740</td>\n",
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              "    <tr>\n",
              "      <th>691</th>\n",
              "      <td>691</td>\n",
              "      <td>rs573638413_Maj_ABE_239</td>\n",
              "      <td>rs573638413</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.118029</td>\n",
              "      <td>0.068900</td>\n",
              "      <td>0.216656</td>\n",
              "      <td>1.052363</td>\n",
              "      <td>...</td>\n",
              "      <td>0.851512</td>\n",
              "      <td>0.220491</td>\n",
              "      <td>0.806723</td>\n",
              "      <td>0.106352</td>\n",
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              "      <td>0.090801</td>\n",
              "      <td>0.398343</td>\n",
              "      <td>-4.459895</td>\n",
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              "      <th>692</th>\n",
              "      <td>692</td>\n",
              "      <td>rs751373206_Min_ABE_557</td>\n",
              "      <td>rs751373206</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.563968</td>\n",
              "      <td>0.138646</td>\n",
              "      <td>-1.197128</td>\n",
              "      <td>0.272471</td>\n",
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              "      <td>0.220468</td>\n",
              "      <td>-4.337156</td>\n",
              "      <td>0.811250</td>\n",
              "      <td>0.737159</td>\n",
              "      <td>-1.197128</td>\n",
              "      <td>0.617777</td>\n",
              "      <td>-1.937800</td>\n",
              "      <td>0.562122</td>\n",
              "      <td>-2.407949</td>\n",
              "      <td>0.013693</td>\n",
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              "      <th>693</th>\n",
              "      <td>693</td>\n",
              "      <td>rs771555783_Maj_ABE_309</td>\n",
              "      <td>rs771555783</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
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              "      <td>0.215797</td>\n",
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              "      <td>0.689426</td>\n",
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              "      <td>0.557844</td>\n",
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              "      <td>1.563146</td>\n",
              "      <td>-0.313289</td>\n",
              "      <td>0.249471</td>\n",
              "      <td>-3.553427</td>\n",
              "      <td>2.573995</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "scores_tbl"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "scores_tbl"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "fad5780f",
      "metadata": {
        "id": "fad5780f"
      },
      "source": [
        "* mu_adj: mean effect sizes after adjusting for confidence with negative control target.\n",
        "* mu_z_adj: Z-score after adjusting for the confidence with negative control target.\n",
        "* CI[0.025, 0.975]: 95% credible interval of mu_adj. If the credible interval *does not* contain 0, we can call it significant."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "a471cf69",
      "metadata": {
        "id": "a471cf69"
      },
      "outputs": [],
      "source": [
        "scores_tbl = scores_tbl.drop(\"Unnamed: 0\", axis=1)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "298e3fc3",
      "metadata": {
        "id": "298e3fc3"
      },
      "outputs": [],
      "source": [
        "hits = scores_tbl.loc[scores_tbl[\"CI[0.025\"]*scores_tbl[\"0.975]\"] > 0].sort_values(\"mu_z_adj\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "59b5f3a1",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "59b5f3a1",
        "outputId": "0c37637d-c6fa-43c4-a07e-8abf27185be8"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     target target_variant target_group target_group2  \\\n",
              "74               LDLR_SD_12           LDLR      PosCtrl   PosCtrl_dec   \n",
              "65                LDLR_SA_4           LDLR      PosCtrl   PosCtrl_dec   \n",
              "71                LDLR_SD_9           LDLR      PosCtrl   PosCtrl_dec   \n",
              "69                LDLR_SA_8           LDLR      PosCtrl   PosCtrl_dec   \n",
              "75               LDLR_SD_13           LDLR      PosCtrl   PosCtrl_dec   \n",
              "..                      ...            ...          ...           ...   \n",
              "93                LSS_SD_17            LSS      PosCtrl   PosCtrl_inc   \n",
              "119            SREBF2_SA_61         SREBF2      PosCtrl   PosCtrl_dec   \n",
              "433   rs8126001_Min_ABE_574      rs8126001      Variant       Variant   \n",
              "568  rs35081008_Min_ABE_465     rs35081008      Variant       Variant   \n",
              "530  rs12952249_Min_ABE_405     rs12952249      Variant       Variant   \n",
              "\n",
              "     n_guides  edit_rate_mean  edit_rate_std        mu     mu_sd       mu_z  \\\n",
              "74          5        0.605040       0.145153 -1.706433  0.108347 -15.749651   \n",
              "65          5        0.503645       0.118360 -1.542085  0.102661 -15.021137   \n",
              "71          5        0.631704       0.168399 -1.502086  0.110918 -13.542281   \n",
              "69          5        0.677679       0.095749 -1.434610  0.106445 -13.477464   \n",
              "75          4        0.398683       0.055129 -1.332742  0.112924 -11.802161   \n",
              "..        ...             ...            ...       ...       ...        ...   \n",
              "93          5        0.756689       0.102192  2.903474  0.514785   5.640168   \n",
              "119         5        0.673108       0.025410  3.070172  0.541486   5.669898   \n",
              "433         5        0.287359       0.140826  3.152660  0.531068   5.936458   \n",
              "568         5        0.489127       0.176691  2.093390  0.346032   6.049693   \n",
              "530         5        0.522816       0.079249  2.090561  0.299272   6.985480   \n",
              "\n",
              "     ...  mu_sd_scaled  mu_z_scaled  sd_scaled  novl_scaled    mu_adj  \\\n",
              "74   ...      0.087668   -15.607696   0.808953     0.919333 -1.706433   \n",
              "65   ...      0.083067   -14.871318   0.806589     0.910528 -1.542085   \n",
              "71   ...      0.089749   -13.403617   0.807820     0.900927 -1.502086   \n",
              "69   ...      0.086129   -13.332972   0.804226     0.898942 -1.434610   \n",
              "75   ...      0.091371   -11.665959   0.812314     0.884886 -1.332742   \n",
              "..   ...           ...          ...        ...          ...       ...   \n",
              "93   ...      0.416534     5.670045   0.811119     0.914108  2.903474   \n",
              "119  ...      0.438140     5.698302   0.812419     0.924849  3.070172   \n",
              "433  ...      0.429709     5.965419   0.806982     0.933783  3.152660   \n",
              "568  ...      0.279990     6.094141   0.810424     0.855572  2.093390   \n",
              "530  ...      0.242154     7.036874   0.804359     0.872444  2.090561   \n",
              "\n",
              "     mu_sd_adj  mu_z_adj  novl_adj  CI[0.025    0.975]  \n",
              "74    0.245658 -6.946385  0.871242 -2.187914 -1.224953  \n",
              "65    0.232765 -6.625074  0.848001 -1.998295 -1.085874  \n",
              "71    0.251487 -5.972825  0.829719 -1.994991 -1.009181  \n",
              "69    0.241345 -5.944237  0.821906 -1.907637 -0.961583  \n",
              "75    0.256033 -5.205345  0.790877 -1.834558 -0.830926  \n",
              "..         ...       ...       ...       ...       ...  \n",
              "93    1.167180  2.487596  0.820393  0.615842  5.191105  \n",
              "119   1.227720  2.500709  0.833013  0.663884  5.476460  \n",
              "433   1.204098  2.618275  0.848244  0.792671  5.512649  \n",
              "568   0.784565  2.668218  0.761694  0.555671  3.631109  \n",
              "530   0.678545  3.080947  0.792338  0.760637  3.420485  \n",
              "\n",
              "[86 rows x 22 columns]"
            ],
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>target</th>\n",
              "      <th>target_variant</th>\n",
              "      <th>target_group</th>\n",
              "      <th>target_group2</th>\n",
              "      <th>n_guides</th>\n",
              "      <th>edit_rate_mean</th>\n",
              "      <th>edit_rate_std</th>\n",
              "      <th>mu</th>\n",
              "      <th>mu_sd</th>\n",
              "      <th>mu_z</th>\n",
              "      <th>...</th>\n",
              "      <th>mu_sd_scaled</th>\n",
              "      <th>mu_z_scaled</th>\n",
              "      <th>sd_scaled</th>\n",
              "      <th>novl_scaled</th>\n",
              "      <th>mu_adj</th>\n",
              "      <th>mu_sd_adj</th>\n",
              "      <th>mu_z_adj</th>\n",
              "      <th>novl_adj</th>\n",
              "      <th>CI[0.025</th>\n",
              "      <th>0.975]</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>74</th>\n",
              "      <td>LDLR_SD_12</td>\n",
              "      <td>LDLR</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>5</td>\n",
              "      <td>0.605040</td>\n",
              "      <td>0.145153</td>\n",
              "      <td>-1.706433</td>\n",
              "      <td>0.108347</td>\n",
              "      <td>-15.749651</td>\n",
              "      <td>...</td>\n",
              "      <td>0.087668</td>\n",
              "      <td>-15.607696</td>\n",
              "      <td>0.808953</td>\n",
              "      <td>0.919333</td>\n",
              "      <td>-1.706433</td>\n",
              "      <td>0.245658</td>\n",
              "      <td>-6.946385</td>\n",
              "      <td>0.871242</td>\n",
              "      <td>-2.187914</td>\n",
              "      <td>-1.224953</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65</th>\n",
              "      <td>LDLR_SA_4</td>\n",
              "      <td>LDLR</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>5</td>\n",
              "      <td>0.503645</td>\n",
              "      <td>0.118360</td>\n",
              "      <td>-1.542085</td>\n",
              "      <td>0.102661</td>\n",
              "      <td>-15.021137</td>\n",
              "      <td>...</td>\n",
              "      <td>0.083067</td>\n",
              "      <td>-14.871318</td>\n",
              "      <td>0.806589</td>\n",
              "      <td>0.910528</td>\n",
              "      <td>-1.542085</td>\n",
              "      <td>0.232765</td>\n",
              "      <td>-6.625074</td>\n",
              "      <td>0.848001</td>\n",
              "      <td>-1.998295</td>\n",
              "      <td>-1.085874</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>71</th>\n",
              "      <td>LDLR_SD_9</td>\n",
              "      <td>LDLR</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>5</td>\n",
              "      <td>0.631704</td>\n",
              "      <td>0.168399</td>\n",
              "      <td>-1.502086</td>\n",
              "      <td>0.110918</td>\n",
              "      <td>-13.542281</td>\n",
              "      <td>...</td>\n",
              "      <td>0.089749</td>\n",
              "      <td>-13.403617</td>\n",
              "      <td>0.807820</td>\n",
              "      <td>0.900927</td>\n",
              "      <td>-1.502086</td>\n",
              "      <td>0.251487</td>\n",
              "      <td>-5.972825</td>\n",
              "      <td>0.829719</td>\n",
              "      <td>-1.994991</td>\n",
              "      <td>-1.009181</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>69</th>\n",
              "      <td>LDLR_SA_8</td>\n",
              "      <td>LDLR</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>5</td>\n",
              "      <td>0.677679</td>\n",
              "      <td>0.095749</td>\n",
              "      <td>-1.434610</td>\n",
              "      <td>0.106445</td>\n",
              "      <td>-13.477464</td>\n",
              "      <td>...</td>\n",
              "      <td>0.086129</td>\n",
              "      <td>-13.332972</td>\n",
              "      <td>0.804226</td>\n",
              "      <td>0.898942</td>\n",
              "      <td>-1.434610</td>\n",
              "      <td>0.241345</td>\n",
              "      <td>-5.944237</td>\n",
              "      <td>0.821906</td>\n",
              "      <td>-1.907637</td>\n",
              "      <td>-0.961583</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75</th>\n",
              "      <td>LDLR_SD_13</td>\n",
              "      <td>LDLR</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>4</td>\n",
              "      <td>0.398683</td>\n",
              "      <td>0.055129</td>\n",
              "      <td>-1.332742</td>\n",
              "      <td>0.112924</td>\n",
              "      <td>-11.802161</td>\n",
              "      <td>...</td>\n",
              "      <td>0.091371</td>\n",
              "      <td>-11.665959</td>\n",
              "      <td>0.812314</td>\n",
              "      <td>0.884886</td>\n",
              "      <td>-1.332742</td>\n",
              "      <td>0.256033</td>\n",
              "      <td>-5.205345</td>\n",
              "      <td>0.790877</td>\n",
              "      <td>-1.834558</td>\n",
              "      <td>-0.830926</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>LSS_SD_17</td>\n",
              "      <td>LSS</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_inc</td>\n",
              "      <td>5</td>\n",
              "      <td>0.756689</td>\n",
              "      <td>0.102192</td>\n",
              "      <td>2.903474</td>\n",
              "      <td>0.514785</td>\n",
              "      <td>5.640168</td>\n",
              "      <td>...</td>\n",
              "      <td>0.416534</td>\n",
              "      <td>5.670045</td>\n",
              "      <td>0.811119</td>\n",
              "      <td>0.914108</td>\n",
              "      <td>2.903474</td>\n",
              "      <td>1.167180</td>\n",
              "      <td>2.487596</td>\n",
              "      <td>0.820393</td>\n",
              "      <td>0.615842</td>\n",
              "      <td>5.191105</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>119</th>\n",
              "      <td>SREBF2_SA_61</td>\n",
              "      <td>SREBF2</td>\n",
              "      <td>PosCtrl</td>\n",
              "      <td>PosCtrl_dec</td>\n",
              "      <td>5</td>\n",
              "      <td>0.673108</td>\n",
              "      <td>0.025410</td>\n",
              "      <td>3.070172</td>\n",
              "      <td>0.541486</td>\n",
              "      <td>5.669898</td>\n",
              "      <td>...</td>\n",
              "      <td>0.438140</td>\n",
              "      <td>5.698302</td>\n",
              "      <td>0.812419</td>\n",
              "      <td>0.924849</td>\n",
              "      <td>3.070172</td>\n",
              "      <td>1.227720</td>\n",
              "      <td>2.500709</td>\n",
              "      <td>0.833013</td>\n",
              "      <td>0.663884</td>\n",
              "      <td>5.476460</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>433</th>\n",
              "      <td>rs8126001_Min_ABE_574</td>\n",
              "      <td>rs8126001</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.287359</td>\n",
              "      <td>0.140826</td>\n",
              "      <td>3.152660</td>\n",
              "      <td>0.531068</td>\n",
              "      <td>5.936458</td>\n",
              "      <td>...</td>\n",
              "      <td>0.429709</td>\n",
              "      <td>5.965419</td>\n",
              "      <td>0.806982</td>\n",
              "      <td>0.933783</td>\n",
              "      <td>3.152660</td>\n",
              "      <td>1.204098</td>\n",
              "      <td>2.618275</td>\n",
              "      <td>0.848244</td>\n",
              "      <td>0.792671</td>\n",
              "      <td>5.512649</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>568</th>\n",
              "      <td>rs35081008_Min_ABE_465</td>\n",
              "      <td>rs35081008</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.489127</td>\n",
              "      <td>0.176691</td>\n",
              "      <td>2.093390</td>\n",
              "      <td>0.346032</td>\n",
              "      <td>6.049693</td>\n",
              "      <td>...</td>\n",
              "      <td>0.279990</td>\n",
              "      <td>6.094141</td>\n",
              "      <td>0.810424</td>\n",
              "      <td>0.855572</td>\n",
              "      <td>2.093390</td>\n",
              "      <td>0.784565</td>\n",
              "      <td>2.668218</td>\n",
              "      <td>0.761694</td>\n",
              "      <td>0.555671</td>\n",
              "      <td>3.631109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>530</th>\n",
              "      <td>rs12952249_Min_ABE_405</td>\n",
              "      <td>rs12952249</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.522816</td>\n",
              "      <td>0.079249</td>\n",
              "      <td>2.090561</td>\n",
              "      <td>0.299272</td>\n",
              "      <td>6.985480</td>\n",
              "      <td>...</td>\n",
              "      <td>0.242154</td>\n",
              "      <td>7.036874</td>\n",
              "      <td>0.804359</td>\n",
              "      <td>0.872444</td>\n",
              "      <td>2.090561</td>\n",
              "      <td>0.678545</td>\n",
              "      <td>3.080947</td>\n",
              "      <td>0.792338</td>\n",
              "      <td>0.760637</td>\n",
              "      <td>3.420485</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>86 rows × 22 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-90c116bc-8468-4054-a2af-82951f6e52b5')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-90c116bc-8468-4054-a2af-82951f6e52b5 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-90c116bc-8468-4054-a2af-82951f6e52b5');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-b1c27721-6088-4a3b-9b87-f9c23c044601\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-b1c27721-6088-4a3b-9b87-f9c23c044601')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-b1c27721-6088-4a3b-9b87-f9c23c044601 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "hits"
            }
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "hits"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "c6d6dbcc",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "c6d6dbcc",
        "outputId": "5eb00d91-c21c-4894-9ae5-8dafecfd6272"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       target  target_variant target_group target_group2  \\\n",
              "529     rs12949541_Maj_ABE_68      rs12949541      Variant       Variant   \n",
              "270     rs2251219_Maj_ABE_138       rs2251219      Variant       Variant   \n",
              "505     rs12042481_Maj_ABE_54      rs12042481      Variant       Variant   \n",
              "672    rs146351794_Maj_ABE_90     rs146351794      Variant       Variant   \n",
              "459    rs10415758_Min_ABE_357      rs10415758      Variant       Variant   \n",
              "389     rs6602909_Maj_ABE_260       rs6602909      Variant       Variant   \n",
              "41                 CONTROL_12         CONTROL      NegCtrl       NegCtrl   \n",
              "578    rs41269888_Maj_ABE_204      rs41269888      Variant       Variant   \n",
              "197      rs643257_Min_ABE_536        rs643257      Variant       Variant   \n",
              "34                  CONTROL_5         CONTROL      NegCtrl       NegCtrl   \n",
              "15   19:11196356ACA_Maj_ABE_7  19:11196356ACA      Variant       Variant   \n",
              "463    rs10489488_Min_ABE_359      rs10489488      Variant       Variant   \n",
              "424     rs7961196_Maj_ABE_319       rs7961196      Variant       Variant   \n",
              "628    rs75460349_Maj_ABE_296      rs75460349      Variant       Variant   \n",
              "205      rs769452_Maj_ABE_307        rs769452      Variant       Variant   \n",
              "445     rs9894946_Maj_ABE_346       rs9894946      Variant       Variant   \n",
              "480    rs11149612_Min_ABE_369      rs11149612      Variant       Variant   \n",
              "562    rs34514836_Maj_ABE_171      rs34514836      Variant       Variant   \n",
              "627    rs74612335_Maj_ABE_293      rs74612335      Variant       Variant   \n",
              "542    rs17231506_Min_ABE_424      rs17231506      Variant       Variant   \n",
              "498    rs11781667_Min_ABE_382      rs11781667      Variant       Variant   \n",
              "139        rs13412_Maj_ABE_74         rs13412      Variant       Variant   \n",
              "135        rs9297_Maj_ABE_335          rs9297      Variant       Variant   \n",
              "335     rs3852861_Min_ABE_479       rs3852861      Variant       Variant   \n",
              "469     rs10846740_Maj_ABE_26      rs10846740      Variant       Variant   \n",
              "193      rs602662_Min_ABE_527        rs602662      Variant       Variant   \n",
              "432     rs8112972_Min_ABE_573       rs8112972      Variant       Variant   \n",
              "280     rs2297400_Maj_ABE_144       rs2297400      Variant       Variant   \n",
              "513    rs12476527_Min_ABE_391      rs12476527      Variant       Variant   \n",
              "482     rs11167269_Maj_ABE_35      rs11167269      Variant       Variant   \n",
              "555    rs28555129_Maj_ABE_159      rs28555129      Variant       Variant   \n",
              "167      rs429358_Maj_ABE_207        rs429358      Variant       Variant   \n",
              "170      rs484084_Maj_ABE_218        rs484084      Variant       Variant   \n",
              "549    rs17651629_Min_ABE_429      rs17651629      Variant       Variant   \n",
              "356     rs4719853_Maj_ABE_214       rs4719853      Variant       Variant   \n",
              "364     rs4886648_Min_ABE_500       rs4886648      Variant       Variant   \n",
              "130         rs704_Min_ABE_550           rs704      Variant       Variant   \n",
              "169      rs472495_Min_ABE_493        rs472495      Variant       Variant   \n",
              "226      rs1250259_Maj_ABE_59       rs1250259      Variant       Variant   \n",
              "314     rs3741513_Min_ABE_469       rs3741513      Variant       Variant   \n",
              "316     rs3748034_Min_ABE_470       rs3748034      Variant       Variant   \n",
              "433     rs8126001_Min_ABE_574       rs8126001      Variant       Variant   \n",
              "568    rs35081008_Min_ABE_465      rs35081008      Variant       Variant   \n",
              "530    rs12952249_Min_ABE_405      rs12952249      Variant       Variant   \n",
              "\n",
              "     n_guides  edit_rate_mean  edit_rate_std        mu     mu_sd      mu_z  \\\n",
              "529         5        0.721277       0.149108 -1.135827  0.196916 -5.768071   \n",
              "270         5        0.616719       0.121485 -1.186437  0.206637 -5.741662   \n",
              "505         5        0.428433       0.142262 -1.160192  0.206813 -5.609867   \n",
              "672         5        0.427360       0.204787 -1.220160  0.228191 -5.347098   \n",
              "459         5        0.406099       0.208473 -1.104312  0.214755 -5.142182   \n",
              "389         5        0.427919       0.246049 -1.299049  0.253306 -5.128376   \n",
              "41          5        0.771117       0.143726 -1.117003  0.219743 -5.083233   \n",
              "578         5        0.635011       0.066828 -1.425502  0.285185 -4.998512   \n",
              "197         5        0.783031       0.067588 -1.122906  0.229713 -4.888294   \n",
              "34          5        0.390641       0.154378 -1.292665  0.276072 -4.682340   \n",
              "15          5        0.396977       0.155488 -0.986423  0.212099 -4.650765   \n",
              "463         5        0.291714       0.083942  2.928966  0.655986  4.464983   \n",
              "424         5        0.550750       0.056976  2.908814  0.645711  4.504825   \n",
              "628         5        0.636978       0.264176  2.947841  0.653726  4.509291   \n",
              "205         5        0.246866       0.182036  3.244120  0.710042  4.568914   \n",
              "445         5        0.395368       0.251936  2.113176  0.460601  4.587868   \n",
              "480         5        0.425852       0.186156  2.807046  0.606700  4.626744   \n",
              "562         5        0.134492       0.072933  2.688176  0.579441  4.639257   \n",
              "627         5        0.373259       0.198848  2.972952  0.638540  4.655859   \n",
              "542         5        0.222556       0.029180  3.159216  0.674201  4.685865   \n",
              "498         5        0.525620       0.213331  2.850925  0.600044  4.751195   \n",
              "139         5        0.383540       0.106146  2.963555  0.617306  4.800788   \n",
              "135         5        0.647562       0.068501  2.575655  0.535054  4.813828   \n",
              "335         5        0.113648       0.034786  3.078220  0.637224  4.830669   \n",
              "469         5        0.396484       0.124098  3.074967  0.633753  4.851993   \n",
              "193         5        0.542021       0.141020  3.046841  0.618940  4.922677   \n",
              "432         5        0.669614       0.179855  3.009234  0.610548  4.928744   \n",
              "280         5        0.668144       0.114931  2.835345  0.567478  4.996397   \n",
              "513         5        0.431844       0.245073  1.623930  0.324903  4.998198   \n",
              "482         5        0.484603       0.067402  3.060637  0.606984  5.042366   \n",
              "555         5        0.305449       0.130599  2.741644  0.535004  5.124535   \n",
              "167         5        0.705293       0.074037  3.127765  0.606478  5.157258   \n",
              "170         5        0.670823       0.133149  2.864805  0.549809  5.210546   \n",
              "549         5        0.291636       0.099833  2.675226  0.511990  5.225148   \n",
              "356         5        0.793586       0.074447  2.917625  0.555450  5.252721   \n",
              "364         5        0.576985       0.163332  2.903355  0.552354  5.256325   \n",
              "130         5        0.494735       0.112786  3.299815  0.626508  5.266997   \n",
              "169         5        0.765953       0.087189  3.068484  0.576477  5.322819   \n",
              "226         5        0.441253       0.182309  1.589373  0.295478  5.378992   \n",
              "314         5        0.217311       0.131101  3.396738  0.618806  5.489183   \n",
              "316         5        0.404771       0.184016  3.352372  0.607867  5.514977   \n",
              "433         5        0.287359       0.140826  3.152660  0.531068  5.936458   \n",
              "568         5        0.489127       0.176691  2.093390  0.346032  6.049693   \n",
              "530         5        0.522816       0.079249  2.090561  0.299272  6.985480   \n",
              "\n",
              "     ...  mu_sd_scaled  mu_z_scaled  sd_scaled  novl_scaled    mu_adj  \\\n",
              "529  ...      0.159333    -5.689964   0.807244     0.789736 -1.135827   \n",
              "270  ...      0.167198    -5.667229   0.809184     0.788065 -1.186437   \n",
              "505  ...      0.167341    -5.535498   0.807585     0.784391 -1.160192   \n",
              "672  ...      0.184639    -5.279697   0.808812     0.775184 -1.220160   \n",
              "459  ...      0.173768    -5.070563   0.810723     0.770044 -1.104312   \n",
              "389  ...      0.204961    -5.067657   0.804659     0.768025 -1.299049   \n",
              "41   ...      0.177803    -5.013240   0.807760     0.767486 -1.117003   \n",
              "578  ...      0.230756    -4.944580   0.810015     0.767121 -1.425502   \n",
              "197  ...      0.185871    -4.821339   0.804576     0.759866 -1.122906   \n",
              "34   ...      0.223382    -4.626628   0.811441     0.750495 -1.292665   \n",
              "15   ...      0.171618    -4.578248   0.805674     0.756917 -0.986423   \n",
              "463  ...      0.530786     4.488429   0.809090     0.887292  2.928966   \n",
              "424  ...      0.522472     4.528645   0.809354     0.887115  2.908814   \n",
              "628  ...      0.528958     4.532818   0.804047     0.889974  2.947841   \n",
              "205  ...      0.574525     4.590575   0.806693     0.910246  3.244120   \n",
              "445  ...      0.372692     4.621261   0.810497     0.818767  2.113176   \n",
              "480  ...      0.490907     4.652095   0.808473     0.883409  2.807046   \n",
              "562  ...      0.468850     4.665801   0.808800     0.874567  2.688176   \n",
              "627  ...      0.516670     4.679946   0.808833     0.895997  2.972952   \n",
              "542  ...      0.545525     4.708679   0.806227     0.908555  3.159216   \n",
              "498  ...      0.485521     4.776828   0.812697     0.890197  2.850925   \n",
              "139  ...      0.499489     4.825704   0.808257     0.899348  2.963555   \n",
              "135  ...      0.432935     4.842574   0.808043     0.870337  2.575655   \n",
              "335  ...      0.515605     4.854806   0.805445     0.907472  3.078220   \n",
              "469  ...      0.512797     4.876262   0.810808     0.907815  3.074967   \n",
              "193  ...      0.500811     4.947527   0.806762     0.907839  3.046841   \n",
              "432  ...      0.494020     4.953936   0.813064     0.905614  3.009234   \n",
              "280  ...      0.459171     5.023500   0.808436     0.895532  2.835345   \n",
              "513  ...      0.262893     5.045537   0.814906     0.784980  1.623930   \n",
              "482  ...      0.491137     5.067705   0.808514     0.911558  3.060637   \n",
              "555  ...      0.432894     5.153284   0.807723     0.891787  2.741644   \n",
              "167  ...      0.490727     5.182619   0.805625     0.918130  3.127765   \n",
              "170  ...      0.444874     5.238521   0.811173     0.902684  2.864805   \n",
              "549  ...      0.414273     5.255189   0.806895     0.889069  2.675226   \n",
              "356  ...      0.449438     5.280411   0.808188     0.907198  2.917625   \n",
              "364  ...      0.446934     5.284171   0.806857     0.906325  2.903355   \n",
              "130  ...      0.506934     5.291547   0.808778     0.929698  3.299815   \n",
              "169  ...      0.466452     5.349500   0.803379     0.918154  3.068484   \n",
              "226  ...      0.239084     5.431045   0.808518     0.794814  1.589373   \n",
              "314  ...      0.500702     5.514039   0.815555     0.938470  3.396738   \n",
              "316  ...      0.491851     5.540280   0.811959     0.936854  3.352372   \n",
              "433  ...      0.429709     5.965419   0.806982     0.933783  3.152660   \n",
              "568  ...      0.279990     6.094141   0.810424     0.855572  2.093390   \n",
              "530  ...      0.242154     7.036874   0.804359     0.872444  2.090561   \n",
              "\n",
              "     mu_sd_adj  mu_z_adj  novl_adj  CI[0.025    0.975]  \n",
              "529   0.446471 -2.544008  0.620749 -2.010894 -0.260759  \n",
              "270   0.468510 -2.532360  0.625374 -2.104701 -0.268174  \n",
              "505   0.468910 -2.474232  0.616634 -2.079238 -0.241145  \n",
              "672   0.517381 -2.358338  0.612710 -2.234209 -0.206111  \n",
              "459   0.486919 -2.267960  0.588819 -2.058655 -0.149969  \n",
              "389   0.574325 -2.261871  0.614217 -2.424705 -0.173393  \n",
              "41    0.498226 -2.241960  0.587318 -2.093508 -0.140498  \n",
              "578   0.646605 -2.204594  0.627287 -2.692826 -0.158179  \n",
              "197   0.520833 -2.155983  0.578235 -2.143719 -0.102093  \n",
              "34    0.625943 -2.065147  0.591654 -2.519492 -0.065838  \n",
              "15    0.480896 -2.051220  0.552484 -1.928962 -0.043885  \n",
              "463   1.487327  1.969281  0.767378  0.013858  5.844074  \n",
              "424   1.464030  1.986853  0.768047  0.039367  5.778261  \n",
              "628   1.482204  1.988823  0.771128  0.042775  5.852907  \n",
              "205   1.609889  2.015120  0.793992  0.088795  6.399445  \n",
              "445   1.044328  2.023480  0.698819  0.066331  4.160021  \n",
              "480   1.375581  2.040626  0.766781  0.110957  5.503135  \n",
              "562   1.313776  2.046145  0.757867  0.113222  5.263129  \n",
              "627   1.447772  2.053467  0.780620  0.135371  5.810533  \n",
              "542   1.528627  2.066701  0.794717  0.163162  6.155271  \n",
              "498   1.360489  2.095515  0.776528  0.184416  5.517434  \n",
              "139   1.399628  2.117388  0.787286  0.220335  5.706775  \n",
              "135   1.213135  2.123139  0.757102  0.197954  4.953357  \n",
              "335   1.444789  2.130567  0.796666  0.246486  5.909954  \n",
              "469   1.436919  2.139972  0.797494  0.258657  5.891277  \n",
              "193   1.403332  2.171147  0.799023  0.296361  5.797322  \n",
              "432   1.384305  2.173823  0.796739  0.296046  5.722421  \n",
              "280   1.286652  2.203662  0.787331  0.313554  5.357137  \n",
              "513   0.736658  2.204456  0.656462  0.180107  3.067754  \n",
              "482   1.376225  2.223936  0.805605  0.363285  5.757988  \n",
              "555   1.213022  2.260177  0.785984  0.364165  5.119124  \n",
              "167   1.375078  2.274609  0.815266  0.432662  5.822868  \n",
              "170   1.246591  2.298112  0.799415  0.421532  5.308077  \n",
              "549   1.160844  2.304552  0.785128  0.400013  4.950438  \n",
              "356   1.259381  2.316713  0.805170  0.449283  5.385966  \n",
              "364   1.252362  2.318303  0.804293  0.448770  5.357940  \n",
              "130   1.420492  2.323010  0.830644  0.515703  6.083928  \n",
              "169   1.307056  2.347630  0.818670  0.506701  5.630266  \n",
              "226   0.669942  2.372405  0.668840  0.276311  2.902435  \n",
              "314   1.403028  2.421005  0.845385  0.646853  6.146622  \n",
              "316   1.378226  2.432381  0.843965  0.651098  6.053646  \n",
              "433   1.204098  2.618275  0.848244  0.792671  5.512649  \n",
              "568   0.784565  2.668218  0.761694  0.555671  3.631109  \n",
              "530   0.678545  3.080947  0.792338  0.760637  3.420485  \n",
              "\n",
              "[44 rows x 22 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-8e751033-5622-42b7-8a3c-d5b45fd520cb\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "        vertical-align: top;\n",
              "    }\n",
              "\n",
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              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>target</th>\n",
              "      <th>target_variant</th>\n",
              "      <th>target_group</th>\n",
              "      <th>target_group2</th>\n",
              "      <th>n_guides</th>\n",
              "      <th>edit_rate_mean</th>\n",
              "      <th>edit_rate_std</th>\n",
              "      <th>mu</th>\n",
              "      <th>mu_sd</th>\n",
              "      <th>mu_z</th>\n",
              "      <th>...</th>\n",
              "      <th>mu_sd_scaled</th>\n",
              "      <th>mu_z_scaled</th>\n",
              "      <th>sd_scaled</th>\n",
              "      <th>novl_scaled</th>\n",
              "      <th>mu_adj</th>\n",
              "      <th>mu_sd_adj</th>\n",
              "      <th>mu_z_adj</th>\n",
              "      <th>novl_adj</th>\n",
              "      <th>CI[0.025</th>\n",
              "      <th>0.975]</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>529</th>\n",
              "      <td>rs12949541_Maj_ABE_68</td>\n",
              "      <td>rs12949541</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.721277</td>\n",
              "      <td>0.149108</td>\n",
              "      <td>-1.135827</td>\n",
              "      <td>0.196916</td>\n",
              "      <td>-5.768071</td>\n",
              "      <td>...</td>\n",
              "      <td>0.159333</td>\n",
              "      <td>-5.689964</td>\n",
              "      <td>0.807244</td>\n",
              "      <td>0.789736</td>\n",
              "      <td>-1.135827</td>\n",
              "      <td>0.446471</td>\n",
              "      <td>-2.544008</td>\n",
              "      <td>0.620749</td>\n",
              "      <td>-2.010894</td>\n",
              "      <td>-0.260759</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>270</th>\n",
              "      <td>rs2251219_Maj_ABE_138</td>\n",
              "      <td>rs2251219</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.616719</td>\n",
              "      <td>0.121485</td>\n",
              "      <td>-1.186437</td>\n",
              "      <td>0.206637</td>\n",
              "      <td>-5.741662</td>\n",
              "      <td>...</td>\n",
              "      <td>0.167198</td>\n",
              "      <td>-5.667229</td>\n",
              "      <td>0.809184</td>\n",
              "      <td>0.788065</td>\n",
              "      <td>-1.186437</td>\n",
              "      <td>0.468510</td>\n",
              "      <td>-2.532360</td>\n",
              "      <td>0.625374</td>\n",
              "      <td>-2.104701</td>\n",
              "      <td>-0.268174</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>505</th>\n",
              "      <td>rs12042481_Maj_ABE_54</td>\n",
              "      <td>rs12042481</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.428433</td>\n",
              "      <td>0.142262</td>\n",
              "      <td>-1.160192</td>\n",
              "      <td>0.206813</td>\n",
              "      <td>-5.609867</td>\n",
              "      <td>...</td>\n",
              "      <td>0.167341</td>\n",
              "      <td>-5.535498</td>\n",
              "      <td>0.807585</td>\n",
              "      <td>0.784391</td>\n",
              "      <td>-1.160192</td>\n",
              "      <td>0.468910</td>\n",
              "      <td>-2.474232</td>\n",
              "      <td>0.616634</td>\n",
              "      <td>-2.079238</td>\n",
              "      <td>-0.241145</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>672</th>\n",
              "      <td>rs146351794_Maj_ABE_90</td>\n",
              "      <td>rs146351794</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.427360</td>\n",
              "      <td>0.204787</td>\n",
              "      <td>-1.220160</td>\n",
              "      <td>0.228191</td>\n",
              "      <td>-5.347098</td>\n",
              "      <td>...</td>\n",
              "      <td>0.184639</td>\n",
              "      <td>-5.279697</td>\n",
              "      <td>0.808812</td>\n",
              "      <td>0.775184</td>\n",
              "      <td>-1.220160</td>\n",
              "      <td>0.517381</td>\n",
              "      <td>-2.358338</td>\n",
              "      <td>0.612710</td>\n",
              "      <td>-2.234209</td>\n",
              "      <td>-0.206111</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>459</th>\n",
              "      <td>rs10415758_Min_ABE_357</td>\n",
              "      <td>rs10415758</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.406099</td>\n",
              "      <td>0.208473</td>\n",
              "      <td>-1.104312</td>\n",
              "      <td>0.214755</td>\n",
              "      <td>-5.142182</td>\n",
              "      <td>...</td>\n",
              "      <td>0.173768</td>\n",
              "      <td>-5.070563</td>\n",
              "      <td>0.810723</td>\n",
              "      <td>0.770044</td>\n",
              "      <td>-1.104312</td>\n",
              "      <td>0.486919</td>\n",
              "      <td>-2.267960</td>\n",
              "      <td>0.588819</td>\n",
              "      <td>-2.058655</td>\n",
              "      <td>-0.149969</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>389</th>\n",
              "      <td>rs6602909_Maj_ABE_260</td>\n",
              "      <td>rs6602909</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.427919</td>\n",
              "      <td>0.246049</td>\n",
              "      <td>-1.299049</td>\n",
              "      <td>0.253306</td>\n",
              "      <td>-5.128376</td>\n",
              "      <td>...</td>\n",
              "      <td>0.204961</td>\n",
              "      <td>-5.067657</td>\n",
              "      <td>0.804659</td>\n",
              "      <td>0.768025</td>\n",
              "      <td>-1.299049</td>\n",
              "      <td>0.574325</td>\n",
              "      <td>-2.261871</td>\n",
              "      <td>0.614217</td>\n",
              "      <td>-2.424705</td>\n",
              "      <td>-0.173393</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>CONTROL_12</td>\n",
              "      <td>CONTROL</td>\n",
              "      <td>NegCtrl</td>\n",
              "      <td>NegCtrl</td>\n",
              "      <td>5</td>\n",
              "      <td>0.771117</td>\n",
              "      <td>0.143726</td>\n",
              "      <td>-1.117003</td>\n",
              "      <td>0.219743</td>\n",
              "      <td>-5.083233</td>\n",
              "      <td>...</td>\n",
              "      <td>0.177803</td>\n",
              "      <td>-5.013240</td>\n",
              "      <td>0.807760</td>\n",
              "      <td>0.767486</td>\n",
              "      <td>-1.117003</td>\n",
              "      <td>0.498226</td>\n",
              "      <td>-2.241960</td>\n",
              "      <td>0.587318</td>\n",
              "      <td>-2.093508</td>\n",
              "      <td>-0.140498</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>578</th>\n",
              "      <td>rs41269888_Maj_ABE_204</td>\n",
              "      <td>rs41269888</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.635011</td>\n",
              "      <td>0.066828</td>\n",
              "      <td>-1.425502</td>\n",
              "      <td>0.285185</td>\n",
              "      <td>-4.998512</td>\n",
              "      <td>...</td>\n",
              "      <td>0.230756</td>\n",
              "      <td>-4.944580</td>\n",
              "      <td>0.810015</td>\n",
              "      <td>0.767121</td>\n",
              "      <td>-1.425502</td>\n",
              "      <td>0.646605</td>\n",
              "      <td>-2.204594</td>\n",
              "      <td>0.627287</td>\n",
              "      <td>-2.692826</td>\n",
              "      <td>-0.158179</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>197</th>\n",
              "      <td>rs643257_Min_ABE_536</td>\n",
              "      <td>rs643257</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.783031</td>\n",
              "      <td>0.067588</td>\n",
              "      <td>-1.122906</td>\n",
              "      <td>0.229713</td>\n",
              "      <td>-4.888294</td>\n",
              "      <td>...</td>\n",
              "      <td>0.185871</td>\n",
              "      <td>-4.821339</td>\n",
              "      <td>0.804576</td>\n",
              "      <td>0.759866</td>\n",
              "      <td>-1.122906</td>\n",
              "      <td>0.520833</td>\n",
              "      <td>-2.155983</td>\n",
              "      <td>0.578235</td>\n",
              "      <td>-2.143719</td>\n",
              "      <td>-0.102093</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>CONTROL_5</td>\n",
              "      <td>CONTROL</td>\n",
              "      <td>NegCtrl</td>\n",
              "      <td>NegCtrl</td>\n",
              "      <td>5</td>\n",
              "      <td>0.390641</td>\n",
              "      <td>0.154378</td>\n",
              "      <td>-1.292665</td>\n",
              "      <td>0.276072</td>\n",
              "      <td>-4.682340</td>\n",
              "      <td>...</td>\n",
              "      <td>0.223382</td>\n",
              "      <td>-4.626628</td>\n",
              "      <td>0.811441</td>\n",
              "      <td>0.750495</td>\n",
              "      <td>-1.292665</td>\n",
              "      <td>0.625943</td>\n",
              "      <td>-2.065147</td>\n",
              "      <td>0.591654</td>\n",
              "      <td>-2.519492</td>\n",
              "      <td>-0.065838</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>19:11196356ACA_Maj_ABE_7</td>\n",
              "      <td>19:11196356ACA</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.396977</td>\n",
              "      <td>0.155488</td>\n",
              "      <td>-0.986423</td>\n",
              "      <td>0.212099</td>\n",
              "      <td>-4.650765</td>\n",
              "      <td>...</td>\n",
              "      <td>0.171618</td>\n",
              "      <td>-4.578248</td>\n",
              "      <td>0.805674</td>\n",
              "      <td>0.756917</td>\n",
              "      <td>-0.986423</td>\n",
              "      <td>0.480896</td>\n",
              "      <td>-2.051220</td>\n",
              "      <td>0.552484</td>\n",
              "      <td>-1.928962</td>\n",
              "      <td>-0.043885</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>463</th>\n",
              "      <td>rs10489488_Min_ABE_359</td>\n",
              "      <td>rs10489488</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.291714</td>\n",
              "      <td>0.083942</td>\n",
              "      <td>2.928966</td>\n",
              "      <td>0.655986</td>\n",
              "      <td>4.464983</td>\n",
              "      <td>...</td>\n",
              "      <td>0.530786</td>\n",
              "      <td>4.488429</td>\n",
              "      <td>0.809090</td>\n",
              "      <td>0.887292</td>\n",
              "      <td>2.928966</td>\n",
              "      <td>1.487327</td>\n",
              "      <td>1.969281</td>\n",
              "      <td>0.767378</td>\n",
              "      <td>0.013858</td>\n",
              "      <td>5.844074</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>424</th>\n",
              "      <td>rs7961196_Maj_ABE_319</td>\n",
              "      <td>rs7961196</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.550750</td>\n",
              "      <td>0.056976</td>\n",
              "      <td>2.908814</td>\n",
              "      <td>0.645711</td>\n",
              "      <td>4.504825</td>\n",
              "      <td>...</td>\n",
              "      <td>0.522472</td>\n",
              "      <td>4.528645</td>\n",
              "      <td>0.809354</td>\n",
              "      <td>0.887115</td>\n",
              "      <td>2.908814</td>\n",
              "      <td>1.464030</td>\n",
              "      <td>1.986853</td>\n",
              "      <td>0.768047</td>\n",
              "      <td>0.039367</td>\n",
              "      <td>5.778261</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>628</th>\n",
              "      <td>rs75460349_Maj_ABE_296</td>\n",
              "      <td>rs75460349</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.636978</td>\n",
              "      <td>0.264176</td>\n",
              "      <td>2.947841</td>\n",
              "      <td>0.653726</td>\n",
              "      <td>4.509291</td>\n",
              "      <td>...</td>\n",
              "      <td>0.528958</td>\n",
              "      <td>4.532818</td>\n",
              "      <td>0.804047</td>\n",
              "      <td>0.889974</td>\n",
              "      <td>2.947841</td>\n",
              "      <td>1.482204</td>\n",
              "      <td>1.988823</td>\n",
              "      <td>0.771128</td>\n",
              "      <td>0.042775</td>\n",
              "      <td>5.852907</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>205</th>\n",
              "      <td>rs769452_Maj_ABE_307</td>\n",
              "      <td>rs769452</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.246866</td>\n",
              "      <td>0.182036</td>\n",
              "      <td>3.244120</td>\n",
              "      <td>0.710042</td>\n",
              "      <td>4.568914</td>\n",
              "      <td>...</td>\n",
              "      <td>0.574525</td>\n",
              "      <td>4.590575</td>\n",
              "      <td>0.806693</td>\n",
              "      <td>0.910246</td>\n",
              "      <td>3.244120</td>\n",
              "      <td>1.609889</td>\n",
              "      <td>2.015120</td>\n",
              "      <td>0.793992</td>\n",
              "      <td>0.088795</td>\n",
              "      <td>6.399445</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>445</th>\n",
              "      <td>rs9894946_Maj_ABE_346</td>\n",
              "      <td>rs9894946</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.395368</td>\n",
              "      <td>0.251936</td>\n",
              "      <td>2.113176</td>\n",
              "      <td>0.460601</td>\n",
              "      <td>4.587868</td>\n",
              "      <td>...</td>\n",
              "      <td>0.372692</td>\n",
              "      <td>4.621261</td>\n",
              "      <td>0.810497</td>\n",
              "      <td>0.818767</td>\n",
              "      <td>2.113176</td>\n",
              "      <td>1.044328</td>\n",
              "      <td>2.023480</td>\n",
              "      <td>0.698819</td>\n",
              "      <td>0.066331</td>\n",
              "      <td>4.160021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>480</th>\n",
              "      <td>rs11149612_Min_ABE_369</td>\n",
              "      <td>rs11149612</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.425852</td>\n",
              "      <td>0.186156</td>\n",
              "      <td>2.807046</td>\n",
              "      <td>0.606700</td>\n",
              "      <td>4.626744</td>\n",
              "      <td>...</td>\n",
              "      <td>0.490907</td>\n",
              "      <td>4.652095</td>\n",
              "      <td>0.808473</td>\n",
              "      <td>0.883409</td>\n",
              "      <td>2.807046</td>\n",
              "      <td>1.375581</td>\n",
              "      <td>2.040626</td>\n",
              "      <td>0.766781</td>\n",
              "      <td>0.110957</td>\n",
              "      <td>5.503135</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>562</th>\n",
              "      <td>rs34514836_Maj_ABE_171</td>\n",
              "      <td>rs34514836</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.134492</td>\n",
              "      <td>0.072933</td>\n",
              "      <td>2.688176</td>\n",
              "      <td>0.579441</td>\n",
              "      <td>4.639257</td>\n",
              "      <td>...</td>\n",
              "      <td>0.468850</td>\n",
              "      <td>4.665801</td>\n",
              "      <td>0.808800</td>\n",
              "      <td>0.874567</td>\n",
              "      <td>2.688176</td>\n",
              "      <td>1.313776</td>\n",
              "      <td>2.046145</td>\n",
              "      <td>0.757867</td>\n",
              "      <td>0.113222</td>\n",
              "      <td>5.263129</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>627</th>\n",
              "      <td>rs74612335_Maj_ABE_293</td>\n",
              "      <td>rs74612335</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.373259</td>\n",
              "      <td>0.198848</td>\n",
              "      <td>2.972952</td>\n",
              "      <td>0.638540</td>\n",
              "      <td>4.655859</td>\n",
              "      <td>...</td>\n",
              "      <td>0.516670</td>\n",
              "      <td>4.679946</td>\n",
              "      <td>0.808833</td>\n",
              "      <td>0.895997</td>\n",
              "      <td>2.972952</td>\n",
              "      <td>1.447772</td>\n",
              "      <td>2.053467</td>\n",
              "      <td>0.780620</td>\n",
              "      <td>0.135371</td>\n",
              "      <td>5.810533</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>542</th>\n",
              "      <td>rs17231506_Min_ABE_424</td>\n",
              "      <td>rs17231506</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.222556</td>\n",
              "      <td>0.029180</td>\n",
              "      <td>3.159216</td>\n",
              "      <td>0.674201</td>\n",
              "      <td>4.685865</td>\n",
              "      <td>...</td>\n",
              "      <td>0.545525</td>\n",
              "      <td>4.708679</td>\n",
              "      <td>0.806227</td>\n",
              "      <td>0.908555</td>\n",
              "      <td>3.159216</td>\n",
              "      <td>1.528627</td>\n",
              "      <td>2.066701</td>\n",
              "      <td>0.794717</td>\n",
              "      <td>0.163162</td>\n",
              "      <td>6.155271</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>498</th>\n",
              "      <td>rs11781667_Min_ABE_382</td>\n",
              "      <td>rs11781667</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.525620</td>\n",
              "      <td>0.213331</td>\n",
              "      <td>2.850925</td>\n",
              "      <td>0.600044</td>\n",
              "      <td>4.751195</td>\n",
              "      <td>...</td>\n",
              "      <td>0.485521</td>\n",
              "      <td>4.776828</td>\n",
              "      <td>0.812697</td>\n",
              "      <td>0.890197</td>\n",
              "      <td>2.850925</td>\n",
              "      <td>1.360489</td>\n",
              "      <td>2.095515</td>\n",
              "      <td>0.776528</td>\n",
              "      <td>0.184416</td>\n",
              "      <td>5.517434</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>rs13412_Maj_ABE_74</td>\n",
              "      <td>rs13412</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.383540</td>\n",
              "      <td>0.106146</td>\n",
              "      <td>2.963555</td>\n",
              "      <td>0.617306</td>\n",
              "      <td>4.800788</td>\n",
              "      <td>...</td>\n",
              "      <td>0.499489</td>\n",
              "      <td>4.825704</td>\n",
              "      <td>0.808257</td>\n",
              "      <td>0.899348</td>\n",
              "      <td>2.963555</td>\n",
              "      <td>1.399628</td>\n",
              "      <td>2.117388</td>\n",
              "      <td>0.787286</td>\n",
              "      <td>0.220335</td>\n",
              "      <td>5.706775</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>135</th>\n",
              "      <td>rs9297_Maj_ABE_335</td>\n",
              "      <td>rs9297</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.647562</td>\n",
              "      <td>0.068501</td>\n",
              "      <td>2.575655</td>\n",
              "      <td>0.535054</td>\n",
              "      <td>4.813828</td>\n",
              "      <td>...</td>\n",
              "      <td>0.432935</td>\n",
              "      <td>4.842574</td>\n",
              "      <td>0.808043</td>\n",
              "      <td>0.870337</td>\n",
              "      <td>2.575655</td>\n",
              "      <td>1.213135</td>\n",
              "      <td>2.123139</td>\n",
              "      <td>0.757102</td>\n",
              "      <td>0.197954</td>\n",
              "      <td>4.953357</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>335</th>\n",
              "      <td>rs3852861_Min_ABE_479</td>\n",
              "      <td>rs3852861</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.113648</td>\n",
              "      <td>0.034786</td>\n",
              "      <td>3.078220</td>\n",
              "      <td>0.637224</td>\n",
              "      <td>4.830669</td>\n",
              "      <td>...</td>\n",
              "      <td>0.515605</td>\n",
              "      <td>4.854806</td>\n",
              "      <td>0.805445</td>\n",
              "      <td>0.907472</td>\n",
              "      <td>3.078220</td>\n",
              "      <td>1.444789</td>\n",
              "      <td>2.130567</td>\n",
              "      <td>0.796666</td>\n",
              "      <td>0.246486</td>\n",
              "      <td>5.909954</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>469</th>\n",
              "      <td>rs10846740_Maj_ABE_26</td>\n",
              "      <td>rs10846740</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.396484</td>\n",
              "      <td>0.124098</td>\n",
              "      <td>3.074967</td>\n",
              "      <td>0.633753</td>\n",
              "      <td>4.851993</td>\n",
              "      <td>...</td>\n",
              "      <td>0.512797</td>\n",
              "      <td>4.876262</td>\n",
              "      <td>0.810808</td>\n",
              "      <td>0.907815</td>\n",
              "      <td>3.074967</td>\n",
              "      <td>1.436919</td>\n",
              "      <td>2.139972</td>\n",
              "      <td>0.797494</td>\n",
              "      <td>0.258657</td>\n",
              "      <td>5.891277</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>193</th>\n",
              "      <td>rs602662_Min_ABE_527</td>\n",
              "      <td>rs602662</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.542021</td>\n",
              "      <td>0.141020</td>\n",
              "      <td>3.046841</td>\n",
              "      <td>0.618940</td>\n",
              "      <td>4.922677</td>\n",
              "      <td>...</td>\n",
              "      <td>0.500811</td>\n",
              "      <td>4.947527</td>\n",
              "      <td>0.806762</td>\n",
              "      <td>0.907839</td>\n",
              "      <td>3.046841</td>\n",
              "      <td>1.403332</td>\n",
              "      <td>2.171147</td>\n",
              "      <td>0.799023</td>\n",
              "      <td>0.296361</td>\n",
              "      <td>5.797322</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>432</th>\n",
              "      <td>rs8112972_Min_ABE_573</td>\n",
              "      <td>rs8112972</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.669614</td>\n",
              "      <td>0.179855</td>\n",
              "      <td>3.009234</td>\n",
              "      <td>0.610548</td>\n",
              "      <td>4.928744</td>\n",
              "      <td>...</td>\n",
              "      <td>0.494020</td>\n",
              "      <td>4.953936</td>\n",
              "      <td>0.813064</td>\n",
              "      <td>0.905614</td>\n",
              "      <td>3.009234</td>\n",
              "      <td>1.384305</td>\n",
              "      <td>2.173823</td>\n",
              "      <td>0.796739</td>\n",
              "      <td>0.296046</td>\n",
              "      <td>5.722421</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>280</th>\n",
              "      <td>rs2297400_Maj_ABE_144</td>\n",
              "      <td>rs2297400</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.668144</td>\n",
              "      <td>0.114931</td>\n",
              "      <td>2.835345</td>\n",
              "      <td>0.567478</td>\n",
              "      <td>4.996397</td>\n",
              "      <td>...</td>\n",
              "      <td>0.459171</td>\n",
              "      <td>5.023500</td>\n",
              "      <td>0.808436</td>\n",
              "      <td>0.895532</td>\n",
              "      <td>2.835345</td>\n",
              "      <td>1.286652</td>\n",
              "      <td>2.203662</td>\n",
              "      <td>0.787331</td>\n",
              "      <td>0.313554</td>\n",
              "      <td>5.357137</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>513</th>\n",
              "      <td>rs12476527_Min_ABE_391</td>\n",
              "      <td>rs12476527</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.431844</td>\n",
              "      <td>0.245073</td>\n",
              "      <td>1.623930</td>\n",
              "      <td>0.324903</td>\n",
              "      <td>4.998198</td>\n",
              "      <td>...</td>\n",
              "      <td>0.262893</td>\n",
              "      <td>5.045537</td>\n",
              "      <td>0.814906</td>\n",
              "      <td>0.784980</td>\n",
              "      <td>1.623930</td>\n",
              "      <td>0.736658</td>\n",
              "      <td>2.204456</td>\n",
              "      <td>0.656462</td>\n",
              "      <td>0.180107</td>\n",
              "      <td>3.067754</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>482</th>\n",
              "      <td>rs11167269_Maj_ABE_35</td>\n",
              "      <td>rs11167269</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.484603</td>\n",
              "      <td>0.067402</td>\n",
              "      <td>3.060637</td>\n",
              "      <td>0.606984</td>\n",
              "      <td>5.042366</td>\n",
              "      <td>...</td>\n",
              "      <td>0.491137</td>\n",
              "      <td>5.067705</td>\n",
              "      <td>0.808514</td>\n",
              "      <td>0.911558</td>\n",
              "      <td>3.060637</td>\n",
              "      <td>1.376225</td>\n",
              "      <td>2.223936</td>\n",
              "      <td>0.805605</td>\n",
              "      <td>0.363285</td>\n",
              "      <td>5.757988</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>555</th>\n",
              "      <td>rs28555129_Maj_ABE_159</td>\n",
              "      <td>rs28555129</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.305449</td>\n",
              "      <td>0.130599</td>\n",
              "      <td>2.741644</td>\n",
              "      <td>0.535004</td>\n",
              "      <td>5.124535</td>\n",
              "      <td>...</td>\n",
              "      <td>0.432894</td>\n",
              "      <td>5.153284</td>\n",
              "      <td>0.807723</td>\n",
              "      <td>0.891787</td>\n",
              "      <td>2.741644</td>\n",
              "      <td>1.213022</td>\n",
              "      <td>2.260177</td>\n",
              "      <td>0.785984</td>\n",
              "      <td>0.364165</td>\n",
              "      <td>5.119124</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>rs429358_Maj_ABE_207</td>\n",
              "      <td>rs429358</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.705293</td>\n",
              "      <td>0.074037</td>\n",
              "      <td>3.127765</td>\n",
              "      <td>0.606478</td>\n",
              "      <td>5.157258</td>\n",
              "      <td>...</td>\n",
              "      <td>0.490727</td>\n",
              "      <td>5.182619</td>\n",
              "      <td>0.805625</td>\n",
              "      <td>0.918130</td>\n",
              "      <td>3.127765</td>\n",
              "      <td>1.375078</td>\n",
              "      <td>2.274609</td>\n",
              "      <td>0.815266</td>\n",
              "      <td>0.432662</td>\n",
              "      <td>5.822868</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>rs484084_Maj_ABE_218</td>\n",
              "      <td>rs484084</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.670823</td>\n",
              "      <td>0.133149</td>\n",
              "      <td>2.864805</td>\n",
              "      <td>0.549809</td>\n",
              "      <td>5.210546</td>\n",
              "      <td>...</td>\n",
              "      <td>0.444874</td>\n",
              "      <td>5.238521</td>\n",
              "      <td>0.811173</td>\n",
              "      <td>0.902684</td>\n",
              "      <td>2.864805</td>\n",
              "      <td>1.246591</td>\n",
              "      <td>2.298112</td>\n",
              "      <td>0.799415</td>\n",
              "      <td>0.421532</td>\n",
              "      <td>5.308077</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>549</th>\n",
              "      <td>rs17651629_Min_ABE_429</td>\n",
              "      <td>rs17651629</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.291636</td>\n",
              "      <td>0.099833</td>\n",
              "      <td>2.675226</td>\n",
              "      <td>0.511990</td>\n",
              "      <td>5.225148</td>\n",
              "      <td>...</td>\n",
              "      <td>0.414273</td>\n",
              "      <td>5.255189</td>\n",
              "      <td>0.806895</td>\n",
              "      <td>0.889069</td>\n",
              "      <td>2.675226</td>\n",
              "      <td>1.160844</td>\n",
              "      <td>2.304552</td>\n",
              "      <td>0.785128</td>\n",
              "      <td>0.400013</td>\n",
              "      <td>4.950438</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>356</th>\n",
              "      <td>rs4719853_Maj_ABE_214</td>\n",
              "      <td>rs4719853</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.793586</td>\n",
              "      <td>0.074447</td>\n",
              "      <td>2.917625</td>\n",
              "      <td>0.555450</td>\n",
              "      <td>5.252721</td>\n",
              "      <td>...</td>\n",
              "      <td>0.449438</td>\n",
              "      <td>5.280411</td>\n",
              "      <td>0.808188</td>\n",
              "      <td>0.907198</td>\n",
              "      <td>2.917625</td>\n",
              "      <td>1.259381</td>\n",
              "      <td>2.316713</td>\n",
              "      <td>0.805170</td>\n",
              "      <td>0.449283</td>\n",
              "      <td>5.385966</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>364</th>\n",
              "      <td>rs4886648_Min_ABE_500</td>\n",
              "      <td>rs4886648</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.576985</td>\n",
              "      <td>0.163332</td>\n",
              "      <td>2.903355</td>\n",
              "      <td>0.552354</td>\n",
              "      <td>5.256325</td>\n",
              "      <td>...</td>\n",
              "      <td>0.446934</td>\n",
              "      <td>5.284171</td>\n",
              "      <td>0.806857</td>\n",
              "      <td>0.906325</td>\n",
              "      <td>2.903355</td>\n",
              "      <td>1.252362</td>\n",
              "      <td>2.318303</td>\n",
              "      <td>0.804293</td>\n",
              "      <td>0.448770</td>\n",
              "      <td>5.357940</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>130</th>\n",
              "      <td>rs704_Min_ABE_550</td>\n",
              "      <td>rs704</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.494735</td>\n",
              "      <td>0.112786</td>\n",
              "      <td>3.299815</td>\n",
              "      <td>0.626508</td>\n",
              "      <td>5.266997</td>\n",
              "      <td>...</td>\n",
              "      <td>0.506934</td>\n",
              "      <td>5.291547</td>\n",
              "      <td>0.808778</td>\n",
              "      <td>0.929698</td>\n",
              "      <td>3.299815</td>\n",
              "      <td>1.420492</td>\n",
              "      <td>2.323010</td>\n",
              "      <td>0.830644</td>\n",
              "      <td>0.515703</td>\n",
              "      <td>6.083928</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>rs472495_Min_ABE_493</td>\n",
              "      <td>rs472495</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.765953</td>\n",
              "      <td>0.087189</td>\n",
              "      <td>3.068484</td>\n",
              "      <td>0.576477</td>\n",
              "      <td>5.322819</td>\n",
              "      <td>...</td>\n",
              "      <td>0.466452</td>\n",
              "      <td>5.349500</td>\n",
              "      <td>0.803379</td>\n",
              "      <td>0.918154</td>\n",
              "      <td>3.068484</td>\n",
              "      <td>1.307056</td>\n",
              "      <td>2.347630</td>\n",
              "      <td>0.818670</td>\n",
              "      <td>0.506701</td>\n",
              "      <td>5.630266</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>226</th>\n",
              "      <td>rs1250259_Maj_ABE_59</td>\n",
              "      <td>rs1250259</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.441253</td>\n",
              "      <td>0.182309</td>\n",
              "      <td>1.589373</td>\n",
              "      <td>0.295478</td>\n",
              "      <td>5.378992</td>\n",
              "      <td>...</td>\n",
              "      <td>0.239084</td>\n",
              "      <td>5.431045</td>\n",
              "      <td>0.808518</td>\n",
              "      <td>0.794814</td>\n",
              "      <td>1.589373</td>\n",
              "      <td>0.669942</td>\n",
              "      <td>2.372405</td>\n",
              "      <td>0.668840</td>\n",
              "      <td>0.276311</td>\n",
              "      <td>2.902435</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>314</th>\n",
              "      <td>rs3741513_Min_ABE_469</td>\n",
              "      <td>rs3741513</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.217311</td>\n",
              "      <td>0.131101</td>\n",
              "      <td>3.396738</td>\n",
              "      <td>0.618806</td>\n",
              "      <td>5.489183</td>\n",
              "      <td>...</td>\n",
              "      <td>0.500702</td>\n",
              "      <td>5.514039</td>\n",
              "      <td>0.815555</td>\n",
              "      <td>0.938470</td>\n",
              "      <td>3.396738</td>\n",
              "      <td>1.403028</td>\n",
              "      <td>2.421005</td>\n",
              "      <td>0.845385</td>\n",
              "      <td>0.646853</td>\n",
              "      <td>6.146622</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>316</th>\n",
              "      <td>rs3748034_Min_ABE_470</td>\n",
              "      <td>rs3748034</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.404771</td>\n",
              "      <td>0.184016</td>\n",
              "      <td>3.352372</td>\n",
              "      <td>0.607867</td>\n",
              "      <td>5.514977</td>\n",
              "      <td>...</td>\n",
              "      <td>0.491851</td>\n",
              "      <td>5.540280</td>\n",
              "      <td>0.811959</td>\n",
              "      <td>0.936854</td>\n",
              "      <td>3.352372</td>\n",
              "      <td>1.378226</td>\n",
              "      <td>2.432381</td>\n",
              "      <td>0.843965</td>\n",
              "      <td>0.651098</td>\n",
              "      <td>6.053646</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>433</th>\n",
              "      <td>rs8126001_Min_ABE_574</td>\n",
              "      <td>rs8126001</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.287359</td>\n",
              "      <td>0.140826</td>\n",
              "      <td>3.152660</td>\n",
              "      <td>0.531068</td>\n",
              "      <td>5.936458</td>\n",
              "      <td>...</td>\n",
              "      <td>0.429709</td>\n",
              "      <td>5.965419</td>\n",
              "      <td>0.806982</td>\n",
              "      <td>0.933783</td>\n",
              "      <td>3.152660</td>\n",
              "      <td>1.204098</td>\n",
              "      <td>2.618275</td>\n",
              "      <td>0.848244</td>\n",
              "      <td>0.792671</td>\n",
              "      <td>5.512649</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>568</th>\n",
              "      <td>rs35081008_Min_ABE_465</td>\n",
              "      <td>rs35081008</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.489127</td>\n",
              "      <td>0.176691</td>\n",
              "      <td>2.093390</td>\n",
              "      <td>0.346032</td>\n",
              "      <td>6.049693</td>\n",
              "      <td>...</td>\n",
              "      <td>0.279990</td>\n",
              "      <td>6.094141</td>\n",
              "      <td>0.810424</td>\n",
              "      <td>0.855572</td>\n",
              "      <td>2.093390</td>\n",
              "      <td>0.784565</td>\n",
              "      <td>2.668218</td>\n",
              "      <td>0.761694</td>\n",
              "      <td>0.555671</td>\n",
              "      <td>3.631109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>530</th>\n",
              "      <td>rs12952249_Min_ABE_405</td>\n",
              "      <td>rs12952249</td>\n",
              "      <td>Variant</td>\n",
              "      <td>Variant</td>\n",
              "      <td>5</td>\n",
              "      <td>0.522816</td>\n",
              "      <td>0.079249</td>\n",
              "      <td>2.090561</td>\n",
              "      <td>0.299272</td>\n",
              "      <td>6.985480</td>\n",
              "      <td>...</td>\n",
              "      <td>0.242154</td>\n",
              "      <td>7.036874</td>\n",
              "      <td>0.804359</td>\n",
              "      <td>0.872444</td>\n",
              "      <td>2.090561</td>\n",
              "      <td>0.678545</td>\n",
              "      <td>3.080947</td>\n",
              "      <td>0.792338</td>\n",
              "      <td>0.760637</td>\n",
              "      <td>3.420485</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>44 rows × 22 columns</p>\n",
              "</div>\n",
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              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-56d2ef62-570f-4c07-a7f2-b578ca42bfaf button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "hits.loc[hits.target_group != \"PosCtrl\"]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "3264afaa",
      "metadata": {
        "id": "3264afaa"
      },
      "outputs": [],
      "source": [
        "pal = sns.color_palette()\n",
        "target_group2_pal = {\"NegCtrl\":pal[-3], \"PosCtrl_inc\":pal[3], \"PosCtrl_dec\":pal[0], \"Variant\": pal[-2]}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "1498cdf5",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        },
        "id": "1498cdf5",
        "outputId": "ff477ec4-ea89-4e93-860e-ec1319bf70a3"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x400 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.set_theme(style=\"ticks\", rc={\"axes.facecolor\": (0, 0, 0, 0)})\n",
        "fig, ax = plt.subplots(4, 1, figsize=(5,4), sharex=True)\n",
        "\n",
        "for i, g in enumerate(['PosCtrl_inc', 'PosCtrl_dec', 'NegCtrl', 'Variant']):\n",
        "    sns.kdeplot(scores_tbl.loc[scores_tbl.target_group2 == g], x = \"mu_z_adj\", hue='target_group2', palette=target_group2_pal, ax = ax[i], label = g)\n",
        "    ax[i].axvline(0, c = 'black', linewidth=0.5)\n",
        "    ax[i].get_legend().remove()\n",
        "    ax[i].set_ylabel(g, rotation=0, labelpad=30, )\n",
        "    ax[i].spines[['right', 'top', 'left']].set_visible(False)\n",
        "    ax[i].set_box_aspect(0.25)\n",
        "ax[0].set_xticks([-20, -10, 0, 10])\n",
        "fig.legend(bbox_to_anchor=(1, 0.5), loc=\"center left\")\n",
        "ax[-1].set_xlabel(\"BEAN z-score\")\n",
        "plt.setp(ax, yticks=[])\n",
        "fig.subplots_adjust(hspace=-0.8)\n",
        "fig.savefig(\"control_distributions_Ridge.pdf\", bbox_inches=\"tight\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "id": "a5732096",
      "metadata": {
        "id": "a5732096"
      },
      "outputs": [],
      "source": [
        "target_group2_plotly_pal = {\"NegCtrl\":\"grey\", \"PosCtrl_inc\":\"red\", \"PosCtrl_dec\":\"blue\", \"Variant\": \"goldenrod\"}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "f2e45d0e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "f2e45d0e",
        "outputId": "cb75f066-0fc4-45a3-e477-79cc4f44f4eb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "source": [
        "fig = px.scatter(scores_tbl, x = 'mu_adj', y= \"mu_z_adj\", size='edit_rate_mean', color = \"target_group2\", color_discrete_map=target_group2_plotly_pal, width=800, height=600)\n",
        "fig.update_layout(\n",
        "    margin=dict(l=20, r=20, t=20, b=20),\n",
        ")\n",
        "# For github\n",
        "fig.show('png')\n",
        "# Interactive visualization with notebook, run:\n",
        "# fig.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "b74748b6",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "id": "b74748b6",
        "outputId": "993b4fba-ffb8-4c6c-ff18-46115fadb6d9"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import plotly.express as px\n",
        "fig = px.scatter(scores_tbl.loc[scores_tbl.target_group == \"Variant\", :], x = 'mu_adj', y= \"mu_z_adj\", size='edit_rate_mean', color = \"target_group2\", color_discrete_map=target_group2_plotly_pal, width=800, height=600)\n",
        "fig.update_layout(\n",
        "    margin=dict(l=20, r=20, t=20, b=20),\n",
        ")\n",
        "# For github\n",
        "fig.show('png')\n",
        "# Interactive visualization with notebook, run:\n",
        "# fig.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "jy_18loci",
      "language": "python",
      "name": "jy_18loci"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.10.12"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
  "nbformat_minor": 5
}