Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification

Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classification

It remains a great challenge to achieve sufficient cancer classification accuracy with the entire set of genes, due to the high dimensions, small sample size, and big noise of gene expression data. We thus proposed a hybrid gene selection method, Information Gain-Support Vector Machine (IG-SVM) in t...

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Bibliographic Details
Main Authors:	Lingyun Gao, Mingquan Ye, Xiaojie Lu, Daobin Huang
Format:	Article
Language:	English
Published:	Elsevier 2017-12-01
Series:	Genomics, Proteomics & Bioinformatics
Subjects:	Gene selection Cancer classification Information gain Support vector machine Small sample size with high dimension
Online Access:	http://www.sciencedirect.com/science/article/pii/S1672022917301675

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