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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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Principais autores: Russul Alanni, Jingyu Hou, Hasseeb Azzawi, Yong Xiang
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2019-11-01
Serier:BMC Bioinformatics
Fag:
Gene selection
Microarray
Evolutionary algorithms
Gene expression programming
Online adgang:http://link.springer.com/article/10.1186/s12859-019-3161-2
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