Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio.

Bibliographic Details
Title: Feature selection for high dimensional microarray gene expression data via weighted signal to noise ratio.
Authors: Hamraz M; Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan., Ali A; Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan., Mashwani WK; Institute of Numerical Sciences, Kohat University of Science and Technology, Kohat, Pakistan., Aldahmani S; Department of Analytics in the Digital Era, United Arab Emirates University, Al Ain, UAE., Khan Z; Department of Analytics in the Digital Era, United Arab Emirates University, Al Ain, UAE.
Source: PloS one [PLoS One] 2023 Apr 25; Vol. 18 (4), pp. e0284619. Date of Electronic Publication: 2023 Apr 25 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Complete
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Description
ISSN:1932-6203
DOI:10.1371/journal.pone.0284619