An Improved LASSO Screening and Sparse Bayesian Learning Algorithm for GWAS

Genome-wide association studies (GWASs) are powerful and flexible tools for identifying single nucleotide polymorphisms (SNPs) associated with quantitative traits (yield, stress resistance) in plants. Variable selection and machine learning are two effective approaches in GWAS. However, both face li...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Jieru Wang, Jiaqi Li, Guo Lin, Fengfei Ban, Yinan Wu, Siyu Su, Jin Zhang, Juncong Chen
Format:	Article
Language:	English
Published:	MDPI AG 2026-04-01
Subjects:	GAWS SBL BigLASSO mixed linear model candidate genes
Online Access:	https://www.mdpi.com/2227-7390/14/7/1209