MIClique: An Algorithm to Identify Differentially Coexpressed Disease Gene Subset from Microarray Data

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Clique number</td><td align="center">Genes in each clique</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">1</td><td align="center">M63391 H64489 R87126 X74295</td></tr><tr><td align="left">2</td><td align="center">H64489 R87126 T92451 X74295</td></tr><tr><td align="left">3</td><td align="center">H64489 R87126 X74295 J02854</td></tr><tr><td align="left">4</td><td align="center">R87126 X74295 X86693 U19969</td></tr><tr><td align="left">5</td><td align="center">R87126 X74295 J02854 U19969</td></tr><tr><td align="left"><b>6</b></td><td align="center">M63391 R87126 X74295 U19969</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Genes accession numbers in each clique identified by MIClique from colon dataset.

BioMed Research International

tab2

Table 2

Table 2: MIClique: An Algorithm to Identify Differentially Coexpressed Disease Gene Subset from Microarray Data 