Bayesian Mixture Model Analysis for Detecting Differentially Expressed Genes

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td align="left"></td><td align="center"><span style="width: 16.174999px;"><svg height="10.8375" id="M246" style="vertical-align:-3.2316pt" version="1.1" viewbox="0 0 16.174999 10.8375" width="16.174999" xmlns="http://www.w3.org/2000/svg">
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<tspan style="font-size: 12.50px; " x="24.193304" y="0">0</tspan>
<tspan style="font-size: 12.50px; " x="30.444805" y="0">6</tspan>
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</svg></span></td><td align="center">0.1724</td><td align="center">0.0616</td><td align="center" rowspan="3">0.0904</td></tr><tr><td align="left">Cluster
 2</td><td align="center">0</td><td align="center">0.8246</td><td align="center">0.0006</td></tr><tr><td align="left">Cluster
 3</td><td align="center">0.6418</td><td align="center">0.0030</td><td align="center">2.0266</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Parameters estimated for the mice data using the
Bayesian mixture model analysis.

International Journal of Plant Genomics

tab3

Table 3

Table 3: Bayesian Mixture Model Analysis for Detecting Differentially Expressed Genes 