Overcoming the inadaptability of sparse group lasso for data with various group structures by stacking.

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Bibliographic Details
Title: Overcoming the inadaptability of sparse group lasso for data with various group structures by stacking.
Authors: He H; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China., Guo X; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China., Yu J; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China., Ai C; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China., Shi S; Department of Mathematics and Numerical Simulation and High-Performance Computing Laboratory, School of Sciences, Nanchang University, Nanchang 330031, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2022 Mar 04; Vol. 38 (6), pp. 1542-1549.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Retracted Publication
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1367-4811
DOI:10.1093/bioinformatics/btab848