Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule

Volume: 199, Pages: 103958 - 103958
Published: Apr 1, 2020
Abstract
The analysis of omics data together with knowledge-based interpretation can help obtaining important information regarding different biological processes and to reflect the current physiological status of tissue and cells. The main challenge, however, is to analyze high-dimensional gene expression data consisting of a massive amount of redundant genes in extracting disease-related information. To address this problem, gene selection, that...
Paper Details
Title
Feature selection and classification for gene expression data using novel correlation based overlapping score method via Chou’s 5-steps rule
Published Date
Apr 1, 2020
Volume
199
Pages
103958 - 103958
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