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 Welcome to Clustergrammer's Documentation!
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-Clustergrammer is a web-based tool for visualizing and analyzing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap (see :ref:`intro_heatmap_clustergram` for more information). Clustergrammer's front end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis; see :ref:`biology_specific_features`) to facilitate the exploration of gene-level biological data. The library is free and open-source and can be found on `GitHub`_. Press play or interact with the gene-expression demo below to see some of Clustergrammer's interactive features and refer to :ref:`interacting_with_viz` for more information:
+Clustergrammer is a web-based tool for visualizing and analyzing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap (see :ref:`intro_heatmap_clustergram` for more information). Clustergrammer's front end (:ref:`clustergrammer_js`) is built using `D3.js`_ and its back end (:ref:`clustergrammer_py`) is built using `Python`_. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis; see :ref:`biology_specific_features`) to facilitate the exploration of gene-level biological data. The project is free and open-source and can be found on `GitHub`_. Press play or interact with the gene-expression demo below to see some of Clustergrammer's interactive features and refer to :ref:`interacting_with_viz` for more information:
 
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   <div class="section" id="welcome-to-clustergrammer-s-documentation">
 <h1>Welcome to Clustergrammer&#8217;s Documentation!<a class="headerlink" href="#welcome-to-clustergrammer-s-documentation" title="Permalink to this headline">¶</a></h1>
-<p>Clustergrammer is a web-based tool for visualizing and analyzing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap (see <a class="reference internal" href="interacting_with_viz.html#intro-heatmap-clustergram"><span class="std std-ref">Introduction to Clustergrams/Heatmaps</span></a> for more information). Clustergrammer&#8217;s front end (<a class="reference internal" href="clustergrammer_js.html#clustergrammer-js"><span class="std std-ref">Clustergrammer-JS</span></a>) is built using <a class="reference external" href="https://d3js.org/">D3.js</a> and its back end (<a class="reference internal" href="clustergrammer_py.html#clustergrammer-py"><span class="std std-ref">Clustergrammer-PY</span></a>) is built using <a class="reference external" href="https://www.python.org/">Python</a>. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis; see <a class="reference internal" href="biology_specific_features.html#biology-specific-features"><span class="std std-ref">Biology-Specific Features</span></a>) to facilitate the exploration of gene-level biological data. The library is free and open-source and can be found on <a class="reference external" href="https://github.com/MaayanLab/clustergrammer">GitHub</a>. Press play or interact with the gene-expression demo below to see some of Clustergrammer&#8217;s interactive features and refer to <a class="reference internal" href="interacting_with_viz.html#interacting-with-viz"><span class="std std-ref">Interacting with the Visualization</span></a> for more information:</p>
+<p>Clustergrammer is a web-based tool for visualizing and analyzing high-dimensional data (e.g. a matrix) as an interactive and shareable hierarchically clustered heatmap (see <a class="reference internal" href="interacting_with_viz.html#intro-heatmap-clustergram"><span class="std std-ref">Introduction to Clustergrams/Heatmaps</span></a> for more information). Clustergrammer&#8217;s front end (<a class="reference internal" href="clustergrammer_js.html#clustergrammer-js"><span class="std std-ref">Clustergrammer-JS</span></a>) is built using <a class="reference external" href="https://d3js.org/">D3.js</a> and its back end (<a class="reference internal" href="clustergrammer_py.html#clustergrammer-py"><span class="std std-ref">Clustergrammer-PY</span></a>) is built using <a class="reference external" href="https://www.python.org/">Python</a>. Clustergrammer produces highly interactive visualizations that enable intuitive exploration of high-dimensional data and has several optional biology-specific features (e.g. enrichment analysis; see <a class="reference internal" href="biology_specific_features.html#biology-specific-features"><span class="std std-ref">Biology-Specific Features</span></a>) to facilitate the exploration of gene-level biological data. The project is free and open-source and can be found on <a class="reference external" href="https://github.com/MaayanLab/clustergrammer">GitHub</a>. Press play or interact with the gene-expression demo below to see some of Clustergrammer&#8217;s interactive features and refer to <a class="reference internal" href="interacting_with_viz.html#interacting-with-viz"><span class="std std-ref">Interacting with the Visualization</span></a> for more information:</p>
 <iframe id='iframe_preview' src="https://amp.pharm.mssm.edu/clustergrammer/demo/" frameBorder="0" style='height: 495px; width:730px; margin-bottom:20px;'></iframe><div class="section" id="using-clustergrammer">
 <h2>Using Clustergrammer<a class="headerlink" href="#using-clustergrammer" title="Permalink to this headline">¶</a></h2>
 <p>The easiest ways to use Clustergrammer to produce an interactive visualization of your data are to:</p>