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    <h1>Utility for using voom transformation with TMLE for biomarker discovery</h1>
    <small class="dont-index">Source: <a href='https://github.com/nhejazi/biotmle/blob/master/R/rnaseq.R'><code>R/rnaseq.R</code></a></small>
    <div class="hidden name"><code>rnaseq_ic.Rd</code></div>
    </div>

    <div class="ref-description">
    <p>This function prepares next-generation sequencing data (counts) for use with
the biomarker TMLE procedure by invoking the voom transform of <code>limma</code>.</p>
    </div>

    <pre class="usage"><span class='fu'>rnaseq_ic</span><span class='op'>(</span><span class='va'>biotmle</span>, weights <span class='op'>=</span> <span class='cn'>TRUE</span>, <span class='va'>...</span><span class='op'>)</span></pre>

    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a>Arguments</h2>
    <table class="ref-arguments">
    <colgroup><col class="name" /><col class="desc" /></colgroup>
    <tr>
      <th>biotmle</th>
      <td><p>A <code>bioTMLE</code> object containing next-generation sequencing
count data in its "assays" slot.</p></td>
    </tr>
    <tr>
      <th>weights</th>
      <td><p>A <code>logical</code> indicating whether to return quality weights
of samples in the output object.</p></td>
    </tr>
    <tr>
      <th>...</th>
      <td><p>Other arguments to be passed to <code><a href='https://rdrr.io/pkg/limma/man/voom.html'>voom</a></code> or
<code><a href='https://rdrr.io/pkg/limma/man/voomWithQualityWeights.html'>voomWithQualityWeights</a></code> as appropriate.</p></td>
    </tr>
    </table>

    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>

    <p><code>EList</code> object containing voom-transformed expression measures
 of count data (actually, the mean-variance trend) in the "E" slot, to be
 passed into the biomarker TMLE procedure.</p>

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