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

<table>Different threshold values lead to different results for colon dataset. (a) Percentage of isolated vertices. (b) Density of the graph (number of edges divided by maximum possible number of edges, which is <svg height="20.0625" id="M100" style="vertical-align:-3.3907pt" version="1.1" viewbox="0 0 35.575001 20.0625" width="35.575001" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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BioMed Research International

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Figure 3

Figure 3: MIClique: An Algorithm to Identify Differentially Coexpressed Disease Gene Subset from Microarray Data 