Title :
A Novel Approach Searching for Discriminative Gene Sets
Author :
Chu, Feng ; Wang, Lipo
Author_Institution :
Xiangtan Univ., Xiangtan
Abstract :
We propose an algorithm of searching for good discriminative gene sets (DGSs) in microarray cancer data, which we call active mining discriminative gene sets (AM-DGS). Tests in the leukemia data set and the prostate data set indicate that our method is able to achieve better accuracy with much smaller DGSs compared to 3 widely used methods, i.e., TS, FS, and SVM-RFE.
Keywords :
biology computing; cancer; data mining; genetics; learning (artificial intelligence); pattern classification; search problems; support vector machines; SVM; active mining; discriminative gene set; leukemia data set; machine learning; microarray cancer data; pattern classification; prostate data set; search problem; Cancer; Cybernetics; Diseases; Drugs; Gene expression; Machine learning; Pathology; Support vector machine classification; Support vector machines; Testing;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.384957
