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Classifying gene expression data of cancer using classifier ensemble with mutually exclusive features
2002
Proceedings of the IEEE
The explosion of DNA and protein sequence data in public and private databases has been encouraging interdisciplinary research on biology and information technology. Gene expression profiles are just sequences of numbers, and the necessity of tools analyzing them to get useful information has risen significantly. In order to predict the cancer class of patients from the gene expression profile, this paper presents a classification framework that combines a pair of classifiers trained with
doi:10.1109/jproc.2002.804682
fatcat:spzlt33aeza6flphxfz2qelx6u