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<title>Clustergrammer</title>
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.clustergrammer_container{
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<body>
<div id="wrap" class='container'>
<div class='row viz_title' id='clustergram_title'>
Clustergrammer
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<div class="row" >
<div id='container-id-1' class='clustergrammer_container'>
<div class='wait_message'>Please wait ...</div>
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</div>
<div class='row viz_description' id='clustergram_desc'>
<p>Above is a clustergram/heatmap visualization of your input matrix. The rows and columns have been hierarchically clustered, using the Scipy library in Python, using cosine distance and average linkage. Red/blue cells in the matrix represent positive/negative values in your matrix. The visualization interactive (zoomable, reorderable, filterable) and shareable - the current URL is permanent and shareable.</p>
</div>
<div class='row viz_title' id='col_sim_title'>
Column Similarity Matrix
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<div id='container-id-2' class='clustergrammer_container sim_mat_container'>
<div class='wait_message'>Please wait ...</div>
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<div class='row viz_description' id='col_sim_desc'>
<p>Above is a similarity matrix of the columns in your input matrix. The cells in the matrix represent the similarity between columns, where red/blue represent positive/negative similarity (measured as 1 - cosine-distance). Similarity matrices offer a more detailed view of the similarities and differences between rows/columms, e.g. blue cells indicate data points that behave 'oppositely' and this can not be easily seen in a clustergram/heatmap view.</p>
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<div class='row viz_title' id='row_sim_title'>
Row Similarity Matrix
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<div class="row" >
<div id='container-id-3' class='clustergrammer_container sim_mat_container'>
<div class='wait_message'>Please wait ...</div>
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<div class='row viz_description' id='row_sim_desc'>
<p>Above is a similarity matrix of the rows in your input matrix. The cells in the matrix represent the similarity between rows, where red/blue represent positive/negative similarity (measured as 1 - cosine-distance). </p>
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<div id='footer_text_container' class="col-xs-12 footer_section">
<div class="text-muted footer_text">Clustergrammer is being developed by the <a class='blue_links' target="_blank" href="http://icahn.mssm.edu/research/labs/maayan-laboratory">Ma'ayan Lab</a> at the <a class='blue_links' target="_blank" href="http://icahn.mssm.edu/">Icahn School of Medicine at Mount Sinai</a> for the <a target="_blank" href="http://lincs-dcic.org/">BD2K-LINCS DCIC</a> and the <a target="_blank" href="http://commonfund.nih.gov/idg/overview">KMC-IDG</a> </div>
<!-- DCIC, BD2K, KMC, and GitHub -->
<div class="text-muted footer_text">
and is an open source project available on GitHub: <a class='blue_links' target="_blank" href="https://github.com/MaayanLab/clustergrammer">Clustergrammer</a> and <a class='blue_links' target="_blank" href="https://github.com/cornhundred/clustergrammer.js">Clustergrammer.js</a>
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</div>
</div>
</div>
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<script src="lib/js/d3.js"></script>
<script src="lib/js/jquery-1.11.2.min.js"></script>
<script src="lib/js/underscore-min.js"></script>
<script src="lib/js/bootstrap.min.js"></script>
<!-- Clustergrammer JS -->
<script src='clustergrammer.js'></script>
<!-- optional modules -->
<script src='js/Enrichrgram.js'></script>
<script src='js/hzome_functions.js'></script>
<script src='js/send_to_Enrichr.js'></script>
<!-- make clustergrams -->
<script src='js/load_multiple_clustergrams.js'></script>
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