Title :
Bhattacharyya Distance for Identifying Differentially Expressed Genes in Colon Gene Experiments
Author :
Tian, Xue W. ; Lim, J.S.
Author_Institution :
IT Coll., Gachon Univ., Seongnam, South Korea
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.
Keywords :
cancer; fuzzy neural nets; genetics; medical computing; patient diagnosis; pattern classification; statistics; tumours; Bhattacharyya distance; cancer molecular feature selection method; classification accuracy; colon cancer analysis; colon gene experiments; diagnostic tests; differentially expressed gene identification; fuzzy neural networks classifier; gene expression profiles; gene sample classification; gene selection method; normal colon tissues; tumor; Accuracy; Bioinformatics; Cancer; Colon; Fuzzy neural networks; Gene expression; Genomics;
Conference_Titel :
Information Science and Applications (ICISA), 2013 International Conference on
Conference_Location :
Suwon
Print_ISBN :
978-1-4799-0602-4
DOI :
10.1109/ICISA.2013.6579506