A Gene Selection Method for Cancer Classification | Zendy

Xiaodong Wang | Zendy; Jun Tian | Zendy

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A Gene Selection Method for Cancer Classification

Author(s) -

Xiaodong Wang,

Jun Tian

Publication year - 2012

Publication title -

computational and mathematical methods in medicine

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.462

H-Index - 48

eISSN - 1748-6718

pISSN - 1748-670X

DOI - 10.1155/2012/586246

Subject(s) - selection (genetic algorithm) , gene selection , gene , set (abstract data type) , computer science , range (aeronautics) , cancer , simple (philosophy) , data mining , computational biology , artificial intelligence , biology , genetics , gene expression , engineering , microarray analysis techniques , philosophy , programming language , aerospace engineering , epistemology

This paper proposes a method to select a set of genes from a large number of genes with the ability of classifying types of diseases. The proposed gene selection method is designed according to correlation analysis and the concept of 95% reference range. The method is very simple and uses the information of all genes. We have used the method in leukemia patients and achieved good classification results.

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