DocumentCode
465835
Title
A Novel Approach Searching for Discriminative Gene Sets
Author
Chu, Feng ; Wang, Lipo
Author_Institution
Xiangtan Univ., Xiangtan
Volume
2
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
1660
Lastpage
1665
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.2006.384957
Filename
4274091
Link To Document