Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Data set</td><td class="align_center">Accession number</td><td class="align_center">Gene description</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="5">Colon</td><td class="align_center">Z50753</td><td class="align_center"><i>H. sapiens </i>mRNA for GCAP-II/uroguanylin precursor</td></tr><tr><td class="align_center">R87126</td><td class="align_center">Myosin heavy chain, nonmuscle (<i>Gallus gallus</i>)</td></tr><tr><td class="align_center">X63629</td><td class="align_center"><i>H. sapiens</i> mRNA for p cadherin</td></tr><tr><td class="align_center">M76378</td><td class="align_center">Human cysteine-rich protein (CRP) gene, exons 5 and 6</td></tr><tr><td class="align_center">X53586</td><td class="align_center">Human mRNA for integrin alpha 6</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Top 5 genes with the highest selection frequency of colon data set.

Computational and Mathematical Methods in Medicine

tab6

Table 6

Table 6: Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine 