INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis.

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Bibliographic Details
Title: INSIDER: Interpretable sparse matrix decomposition for RNA expression data analysis.
Authors: Zhao K; Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China., Huang S; Department of System Engineering and Engineering Management, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China., Lin C; Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China., Sham PC; Department of Psychiatry, University of Hong Kong, Pokfulam, Hong Kong, China.; Centre for Genomic Sciences, University of Hong Kong, Pokfulam, Hong Kong, China.; State Key Laboratory for Cognitive and Brain Sciences, University of Hong Kong, Pokfulam, Hong Kong, China., So HC; Department of Psychiatry, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.; School of Biomedical Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.; KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Kunming Institute of Zoology and The Chinese University of Hong Kong, Hong Kong, China., Lin Z; Department of Statistics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.
Source: PLoS genetics [PLoS Genet] 2024 Mar 14; Vol. 20 (3), pp. e1011189. Date of Electronic Publication: 2024 Mar 14 (Print Publication: 2024).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE
Database: MEDLINE Ultimate
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