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update cpg_modules figures
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@@ -371,7 +371,7 @@ <h1>Plot correlation matrix for CpG modules using DotClustermap<a class="headerl
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<h2>Processing the data<a class="headerlink" href="#Processing-the-data" title="Permalink to this heading"></a></h2>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">os</span><span class="o">,</span><span class="nn">sys</span>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df_ann</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">value_counts</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">10</span><span class="p">)</span>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="c1"># df_ann.loc[df_ann.Module.isin([&#39;4&#39;,&#39;1&#39;,&#39;3&#39;,&#39;9&#39;,&#39;2&#39;,&#39;39&#39;,&#39;37&#39;])].HM.unique()</span>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">beta</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;../data/kycg_modles_betas.csv&quot;</span><span class="p">,</span><span class="n">sep</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\t</span><span class="s1">&#39;</span><span class="p">)</span>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">df_ann</span><span class="o">=</span><span class="n">df_ann</span><span class="o">.</span><span class="n">loc</span><span class="p">[</span><span class="n">df_ann</span><span class="o">.</span><span class="n">Module</span><span class="o">.</span><span class="n">isin</span><span class="p">([</span><span class="s1">&#39;4&#39;</span><span class="p">,</span><span class="s1">&#39;1&#39;</span><span class="p">,</span><span class="s1">&#39;3&#39;</span><span class="p">,</span><span class="s1">&#39;9&#39;</span><span class="p">,</span><span class="s1">&#39;2&#39;</span><span class="p">,</span><span class="s1">&#39;39&#39;</span><span class="p">])]</span>
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="n">row_ha</span> <span class="o">=</span> <span class="n">HeatmapAnnotation</span><span class="p">(</span><span class="n">Module</span><span class="o">=</span><span class="n">anno_simple</span><span class="p">(</span><span class="n">df_ann</span><span class="o">.</span><span class="n">Module</span><span class="p">,</span><span class="n">cmap</span><span class="o">=</span><span class="s1">&#39;Dark2&#39;</span><span class="p">,</span><span class="n">legend</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span><span class="n">height</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
@@ -1234,20 +1234,28 @@ <h2>Plotting the Dot clustermap<a class="headerlink" href="#Plotting-the-Dot-clu
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<div class="input_area highlight-ipython3 notranslate"><div class="highlight"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">X</span><span class="o">.</span><span class="n">nunique</span><span class="p">())</span>
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