Deep gene selection method to select genes from microarray datasets for cancer classification

Deep gene selection method to select genes from microarray datasets for cancer classification

Abstract Background Microarray datasets consist of complex and high-dimensional samples and genes, and generally the number of samples is much smaller than the number of genes. Due to this data imbalance, gene selection is a demanding task for microarray expression data analysis. Results The gene se...

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Bibliographic Details
Main Authors: Russul Alanni, Jingyu Hou, Hasseeb Azzawi, Yong Xiang
Format: Article
Language:English
Published: BMC 2019-11-01
Series:BMC Bioinformatics
Subjects:
Gene selection
Microarray
Evolutionary algorithms
Gene expression programming
Online Access:http://link.springer.com/article/10.1186/s12859-019-3161-2

Internet

http://link.springer.com/article/10.1186/s12859-019-3161-2

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