Summary
International Symposium on Nonlinear Theory and its Applications
2009
Session Number:C2L-B
Session:
Number:C2L-B1
Detection of Differentially Expressed Gene Modules in Humana Cancer
Terufumi Inoue, Tomomasa Nagashima, Yoshifumi Okada,
pp.-
Publication Date:2009/10/18
Online ISSN:2188-5079
Summary:
Identifying biologically useful genes from massive gene expression data produced by DNA microarray experiments is a crucial issue in bioinformatics and clinical area. Recent studies on gene module discovery have shown substantial usefulness for identifying genetic subtypes in single disease class, but the extension to different disease classes has remained to unsolved. In this paper, we propose a new method to discover differentially expressed gene modules from two class dataset. The proposed method is applied to breast cancer and leukemia datasets, and the biological functions of the extracted modules are evaluated by functional enrichment analysis. As a result, we show that our method can extract genes reflecting known biological functions compared to a traditional approach.