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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-11-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-019-3161-2 |