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Informative gene selection and the direct classification of tumors based on relative simplicity

20 Jan 2016

Abstract excerpt

BACKGROUND: Selecting a parsimonious set of informative genes to build highly generalized performance classifier is the most important task for the analysis of tumor microarray expression data. Many existing gene pair evaluation methods cannot highlight diverse patterns of gene pairs only used one strategy of vertical comparison and horizontal comparison, while individual-gene-ranking method ignores redundancy...

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PMID: 26792270
DOI: 10.1186/s12859-016-0893-0

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