added codex example

cornhundred · Aug 2, 2019 · 1cc1f80 · 1cc1f80
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diff --git a/docs/_build_html/.doctrees/case_studies.doctree b/docs/_build_html/.doctrees/case_studies.doctree
diff --git a/docs/_build_html/.doctrees/environment.pickle b/docs/_build_html/.doctrees/environment.pickle
diff --git a/docs/_build_html/_sources/case_studies.rst.txt b/docs/_build_html/_sources/case_studies.rst.txt
@@ -49,6 +49,21 @@ Mouse Organogenesis Cell Atlas 2 Million Cells
 
 `Cao, J and Spielmann, M et al`_ profiled gene expression from ~2 million mouse cells between 9.5 and 13.5 days of gestation. They identified 38 major cell types and measured ~25,000 genes. We generated a downsampled view of this data representing the ~1.3 million single cells (excluding ~600K suspected doublets) in the dataset by averaging expression for each cell type in each embryo, resulting in ~2,000 cell-type and embryo representative clusters. We demonstrate how Clustergrammer2 can be used to explore cell type clustering, find genes associated with cell type clusters, as well as identify genes that are differentially regulated across developmental stage. For more information, see the video tutorial above and launch or view the notebook using the badges.
 
+CODEX Single Cell Multiplexed Imaging Dashboard
+=================================================
+|MyBinder-Codex|
+
+.. raw:: html
+
+         <div style="position: relative; padding-bottom: 10px; height: 0; overflow: hidden; max-width: 100%; height: auto;">
+
+         <iframe width="560" height="315" src="https://www.youtube.com/embed/JlUvt4rpF-s" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+         </div>
+
+
+`Goltsev et al`_ used a highly multiplexed cytometric approach called CODEX to measure ~30 surface markers in spatially resolved single cells from mouse spleens. We utilized Clustergrammer2 to hierarchically cluster ~5,000 sinlge cells (from a subset of a segmented spleen image). We also used the Jupyter Widget `bqplot`_ to visualize single cell location data using voronoi plots. We then built a dasnboard using the library `voila`_, which converts Jupyter notebooks to dashboards/web-apps, and linked our heatmap to the spatial map. This allows to interact with the Clustergrammer2 heatmap and highlight cells in the spatially resolved map. These kind of linked views are crucial for exploration of spatially resolved high-dimensional single cell data. Finally, we are running this dashboard using MyBinder. See `CODEX Dashboard`_ for code.
+
+
 .. _clustergrammer2_CCLE:
 
 Cancer Cell Line Encyclopedia Gene Expression Data
@@ -147,6 +162,12 @@ These examples demonstrate the generality of heatmap visualizations and enable u
 
 .. _`Cao, J and Spielmann, M et al`: https://oncoscape.v3.sttrcancer.org/atlas.gs.washington.edu.mouse.rna/landing:
 
+.. _`Goltsev et al`: https://linkinghub.elsevier.com/retrieve/pii/S0092867418309048
+
+.. _`bqplot`: https://github.com/bloomberg/bqplot
+.. _`voila`: https://github.com/QuantStack/voila
+.. _`CODEX Dashboard`: https://github.com/ismms-himc/codex_dashboard
+
 
 .. |MyBinder-CCLE| image:: https://img.shields.io/badge/launch-2.0%20CCLE%20Gene%20Expression-579ACA.svg?logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFkAAABZCAMAAABi1XidAAAB8lBMVEX///9XmsrmZYH1olJXmsr1olJXmsrmZYH1olJXmsr1olJXmsrmZYH1olL1olJXmsr1olJXmsrmZYH1olL1olJXmsrmZYH1olJXmsr1olL1olJXmsrmZYH1olL1olJXmsrmZYH1olL1olL0nFf1olJXmsrmZYH1olJXmsq8dZb1olJXmsrmZYH1olJXmspXmspXmsr1olL1olJXmsrmZYH1olJXmsr1olL1olJXmsrmZYH1olL1olLeaIVXmsrmZYH1olL1olL1olJXmsrmZYH1olLna31Xmsr1olJXmsr1olJXmsrmZYH1olLqoVr1olJXmsr1olJXmsrmZYH1olL1olKkfaPobXvviGabgadXmsqThKuofKHmZ4Dobnr1olJXmsr1olJXmspXmsr1olJXmsrfZ4TuhWn1olL1olJXmsqBi7X1olJXmspZmslbmMhbmsdemsVfl8ZgmsNim8Jpk8F0m7R4m7F5nLB6jbh7jbiDirOEibOGnKaMhq+PnaCVg6qWg6qegKaff6WhnpKofKGtnomxeZy3noG6dZi+n3vCcpPDcpPGn3bLb4/Mb47UbIrVa4rYoGjdaIbeaIXhoWHmZYHobXvpcHjqdHXreHLroVrsfG/uhGnuh2bwj2Hxk17yl1vzmljzm1j0nlX1olL3AJXWAAAAbXRSTlMAEBAQHx8gICAuLjAwMDw9PUBAQEpQUFBXV1hgYGBkcHBwcXl8gICAgoiIkJCQlJicnJ2goKCmqK+wsLC4usDAwMjP0NDQ1NbW3Nzg4ODi5+3v8PDw8/T09PX29vb39/f5+fr7+/z8/Pz9/v7+zczCxgAABC5JREFUeAHN1ul3k0UUBvCb1CTVpmpaitAGSLSpSuKCLWpbTKNJFGlcSMAFF63iUmRccNG6gLbuxkXU66JAUef/9LSpmXnyLr3T5AO/rzl5zj137p136BISy44fKJXuGN/d19PUfYeO67Znqtf2KH33Id1psXoFdW30sPZ1sMvs2D060AHqws4FHeJojLZqnw53cmfvg+XR8mC0OEjuxrXEkX5ydeVJLVIlV0e10PXk5k7dYeHu7Cj1j+49uKg7uLU61tGLw1lq27ugQYlclHC4bgv7VQ+TAyj5Zc/UjsPvs1sd5cWryWObtvWT2EPa4rtnWW3JkpjggEpbOsPr7F7EyNewtpBIslA7p43HCsnwooXTEc3UmPmCNn5lrqTJxy6nRmcavGZVt/3Da2pD5NHvsOHJCrdc1G2r3DITpU7yic7w/7Rxnjc0kt5GC4djiv2Sz3Fb2iEZg41/ddsFDoyuYrIkmFehz0HR2thPgQqMyQYb2OtB0WxsZ3BeG3+wpRb1vzl2UYBog8FfGhttFKjtAclnZYrRo9ryG9uG/FZQU4AEg8ZE9LjGMzTmqKXPLnlWVnIlQQTvxJf8ip7VgjZjyVPrjw1te5otM7RmP7xm+sK2Gv9I8Gi++BRbEkR9EBw8zRUcKxwp73xkaLiqQb+kGduJTNHG72zcW9LoJgqQxpP3/Tj//c3yB0tqzaml05/+orHLksVO+95kX7/7qgJvnjlrfr2Ggsyx0eoy9uPzN5SPd86aXggOsEKW2Prz7du3VID3/tzs/sSRs2w7ovVHKtjrX2pd7ZMlTxAYfBAL9jiDwfLkq55Tm7ifhMlTGPyCAs7RFRhn47JnlcB9RM5T97ASuZXIcVNuUDIndpDbdsfrqsOppeXl5Y+XVKdjFCTh+zGaVuj0d9zy05PPK3QzBamxdwtTCrzyg/2Rvf2EstUjordGwa/kx9mSJLr8mLLtCW8HHGJc2R5hS219IiF6PnTusOqcMl57gm0Z8kanKMAQg0qSyuZfn7zItsbGyO9QlnxY0eCuD1XL2ys/MsrQhltE7Ug0uFOzufJFE2PxBo/YAx8XPPdDwWN0MrDRYIZF0mSMKCNHgaIVFoBbNoLJ7tEQDKxGF0kcLQimojCZopv0OkNOyWCCg9XMVAi7ARJzQdM2QUh0gmBozjc3Skg6dSBRqDGYSUOu66Zg+I2fNZs/M3/f/Grl/XnyF1Gw3VKCez0PN5IUfFLqvgUN4C0qNqYs5YhPL+aVZYDE4IpUk57oSFnJm4FyCqqOE0jhY2SMyLFoo56zyo6becOS5UVDdj7Vih0zp+tcMhwRpBeLyqtIjlJKAIZSbI8SGSF3k0pA3mR5tHuwPFoa7N7reoq2bqCsAk1HqCu5uvI1n6JuRXI+S1Mco54YmYTwcn6Aeic+kssXi8XpXC4V3t7/ADuTNKaQJdScAAAAAElFTkSuQmCC
     :alt: MyBinder-CCLE
@@ -192,4 +213,11 @@ These examples demonstrate the generality of heatmap visualizations and enable u
 .. |NBViewer-Mouse-Atlas| image:: https://img.shields.io/badge/jupyter_notebooks-nbviewer-purple.svg?style=flat
     :alt: NBViewer-Mouse-Atlas
     :scale: 100%
-    :target: https://nbviewer.jupyter.org/github/ismms-himc/clustergrammer2-notebooks/blob/master/notebooks/5.2_Viz_2M-Mouse-Atlas_Downsampled.ipynb
+    :target: https://nbviewer.jupyter.org/github/ismms-himc/clustergrammer2-notebooks/blob/master/notebooks/5.2_Viz_2M-Mouse-Atlas_Downsampled.ipynb
+
+
+
+.. |MyBinder-CODEX| image:: https://mybinder.org/badge_logo.svg
+    :alt: MyBinder-CODEX
+    :scale: 100%
+    :target: https://mybinder.org/v2/gh/ismms-himc/codex_dashboard/master?urlpath=voila%2Frender%2Findex.ipynb
diff --git a/docs/_build_html/case_studies.html b/docs/_build_html/case_studies.html
@@ -89,6 +89,7 @@
 <li class="toctree-l2"><a class="reference internal" href="#scrna-seq-gene-expression-2-700-pbmc">scRNA-seq Gene Expression 2,700 PBMC</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#cite-seq-7-800-pbmc">CITE-seq 7,800 PBMC</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#mouse-organogenesis-cell-atlas-2-million-cells">Mouse Organogenesis Cell Atlas 2 Million Cells</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#codex-single-cell-multiplexed-imaging-dashboard">CODEX Single Cell Multiplexed Imaging Dashboard</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#cancer-cell-line-encyclopedia-gene-expression-data">Cancer Cell Line Encyclopedia Gene Expression Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#lung-cancer-post-translational-modification-and-gene-expression-regulation">Lung Cancer Post-Translational Modification and Gene Expression Regulation</a></li>
 <li class="toctree-l2"><a class="reference internal" href="#single-cell-cytof-dataset">Single Cell CyTOF Dataset</a></li>
@@ -200,6 +201,14 @@ <h2>Mouse Organogenesis Cell Atlas 2 Million Cells<a class="headerlink" href="#m
 <iframe width="560" height="315" src="https://www.youtube.com/embed/pNPxuPDavO8" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
 </div><p><a class="reference external" href="https://oncoscape.v3.sttrcancer.org/atlas.gs.washington.edu.mouse.rna/landing:">Cao, J and Spielmann, M et al</a> profiled gene expression from ~2 million mouse cells between 9.5 and 13.5 days of gestation. They identified 38 major cell types and measured ~25,000 genes. We generated a downsampled view of this data representing the ~1.3 million single cells (excluding ~600K suspected doublets) in the dataset by averaging expression for each cell type in each embryo, resulting in ~2,000 cell-type and embryo representative clusters. We demonstrate how Clustergrammer2 can be used to explore cell type clustering, find genes associated with cell type clusters, as well as identify genes that are differentially regulated across developmental stage. For more information, see the video tutorial above and launch or view the notebook using the badges.</p>
 </div>
+<div class="section" id="codex-single-cell-multiplexed-imaging-dashboard">
+<h2>CODEX Single Cell Multiplexed Imaging Dashboard<a class="headerlink" href="#codex-single-cell-multiplexed-imaging-dashboard" title="Permalink to this headline">¶</a></h2>
+<p><a class="reference external" href="https://mybinder.org/v2/gh/ismms-himc/codex_dashboard/master?urlpath=voila%2Frender%2Findex.ipynb"><img alt="MyBinder-CODEX" src="https://mybinder.org/badge_logo.svg" /></a></p>
+<div style="position: relative; padding-bottom: 10px; height: 0; overflow: hidden; max-width: 100%; height: auto;">
+
+<iframe width="560" height="315" src="https://www.youtube.com/embed/JlUvt4rpF-s" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
+</div><p><a class="reference external" href="https://linkinghub.elsevier.com/retrieve/pii/S0092867418309048">Goltsev et al</a> used a highly multiplexed cytometric approach called CODEX to measure ~30 surface markers in spatially resolved single cells from mouse spleens. We utilized Clustergrammer2 to hierarchically cluster ~5,000 sinlge cells (from a subset of a segmented spleen image). We also used the Jupyter Widget <a class="reference external" href="https://github.com/bloomberg/bqplot">bqplot</a> to visualize single cell location data using voronoi plots. We then built a dasnboard using the library <a class="reference external" href="https://github.com/QuantStack/voila">voila</a>, which converts Jupyter notebooks to dashboards/web-apps, and linked our heatmap to the spatial map. This allows to interact with the Clustergrammer2 heatmap and highlight cells in the spatially resolved map. These kind of linked views are crucial for exploration of spatially resolved high-dimensional single cell data. Finally, we are running this dashboard using MyBinder. See <a class="reference external" href="https://github.com/ismms-himc/codex_dashboard">CODEX Dashboard</a> for code.</p>
+</div>
 <div class="section" id="cancer-cell-line-encyclopedia-gene-expression-data">
 <span id="clustergrammer2-ccle"></span><h2>Cancer Cell Line Encyclopedia Gene Expression Data<a class="headerlink" href="#cancer-cell-line-encyclopedia-gene-expression-data" title="Permalink to this headline">¶</a></h2>
 <p><a class="reference external" href="https://mybinder.org/v2/gh/ismms-himc/clustergrammer2_examples/master?filepath=notebooks%2F2.0_CCLE_Gene_Expression.ipynb"><img alt="MyBinder-CCLE" src="https://img.shields.io/badge/launch-2.0%20CCLE%20Gene%20Expression-579ACA.svg?logo=data:image/png;base64,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" /></a> <a class="reference external" href="https://nbviewer.jupyter.org/github/ismms-himc/clustergrammer2-notebooks/blob/master/notebooks/2.0_CCLE_Gene_Expression.ipynb"><img alt="NBViewer-CCLE" src="https://img.shields.io/badge/jupyter_notebooks-nbviewer-purple.svg?style=flat" /></a></p>
@@ -309,7 +318,7 @@ <h2>Machine Learning and Miscellaneous Datasets<a class="headerlink" href="#mach
         <script type="text/javascript" src="_static/underscore.js"></script>
         <script type="text/javascript" src="_static/doctools.js"></script>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
-        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.14.0/dist/embed-amd.js"></script>
+        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
 
 
 

diff --git a/docs/_build_html/genindex.html b/docs/_build_html/genindex.html
@@ -452,7 +452,7 @@ <h2 id="W">W</h2>
         <script type="text/javascript" src="_static/underscore.js"></script>
         <script type="text/javascript" src="_static/doctools.js"></script>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
-        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.14.0/dist/embed-amd.js"></script>
+        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
 
 
 

diff --git a/docs/_build_html/index.html b/docs/_build_html/index.html
@@ -220,6 +220,7 @@ <h2>Contents:<a class="headerlink" href="#contents" title="Permalink to this hea
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#scrna-seq-gene-expression-2-700-pbmc">scRNA-seq Gene Expression 2,700 PBMC</a></li>
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#cite-seq-7-800-pbmc">CITE-seq 7,800 PBMC</a></li>
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#mouse-organogenesis-cell-atlas-2-million-cells">Mouse Organogenesis Cell Atlas 2 Million Cells</a></li>
+<li class="toctree-l2"><a class="reference internal" href="case_studies.html#codex-single-cell-multiplexed-imaging-dashboard">CODEX Single Cell Multiplexed Imaging Dashboard</a></li>
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#cancer-cell-line-encyclopedia-gene-expression-data">Cancer Cell Line Encyclopedia Gene Expression Data</a></li>
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#lung-cancer-post-translational-modification-and-gene-expression-regulation">Lung Cancer Post-Translational Modification and Gene Expression Regulation</a></li>
 <li class="toctree-l2"><a class="reference internal" href="case_studies.html#single-cell-cytof-dataset">Single Cell CyTOF Dataset</a></li>
@@ -376,7 +377,7 @@ <h2>Contents:<a class="headerlink" href="#contents" title="Permalink to this hea
         <script type="text/javascript" src="_static/underscore.js"></script>
         <script type="text/javascript" src="_static/doctools.js"></script>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
-        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.14.0/dist/embed-amd.js"></script>
+        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
 
 
 

diff --git a/docs/_build_html/py-modindex.html b/docs/_build_html/py-modindex.html
@@ -229,7 +229,7 @@ <h1>Python Module Index</h1>
         <script type="text/javascript" src="_static/underscore.js"></script>
         <script type="text/javascript" src="_static/doctools.js"></script>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
-        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.14.0/dist/embed-amd.js"></script>
+        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
 
 
 

diff --git a/docs/_build_html/search.html b/docs/_build_html/search.html
@@ -219,7 +219,7 @@
         <script type="text/javascript" src="_static/underscore.js"></script>
         <script type="text/javascript" src="_static/doctools.js"></script>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.3.4/require.min.js"></script>
-        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.14.0/dist/embed-amd.js"></script>
+        <script type="text/javascript" src="https://unpkg.com/@jupyter-widgets/html-manager@^0.18.0/dist/embed-amd.js"></script>
         <script type="text/javascript" src="_static/searchtools.js"></script>
 
 

diff --git a/docs/_build_html/searchindex.js b/docs/_build_html/searchindex.js