Bingtao Feng

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Gene expression profiles are used to recognize patient samples for cancer diagnosis and therapy. Gene selection is crucial to high recognition performance. In usual gene selection methods the genes are considered as independent individuals and the correlation among genes is not used efficiently. In this description, a co-expression modules based gene(More)
In recent years, the gene expression profiles are used for cancer recognition. But the researchers are disturbed by their large variables and small observes. In this paper, a novel feature selection method based on correlation-based feature selection(CFS) was proposed. Firstly, the measures of variable to variable and variable to observe were calculated(More)
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