Bhattacharyya distance for identifying differentially expressed genes in colon gene experiments

Abstract

Identify a small number of differentially expressed genes for accurate classification of gene samples is essential for the development of diagnostic tests. We present an approach for cancer molecular feature selection method based on their gene expression profiles. Tumor and normal colon tissues were classified in this research. The Bhattacharyya distance was used as the gene selection method to identify the small number of differentially expressed genes for the colon cancer analysis. Finally we selected 7 genes for the colon cancer analysis with 95.16% accuracy by using a fuzzy neural networks classifier. Compare with other colon cancer analysis results, our method selected the smallest number of differentially expressed genes and get the highest classification accuracy. © 2013 IEEE.