Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx

10.1093/bib/bbab256

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Bibliographic Details
Main Authors:	Ko, Seyoon, Li, Ginny X., Choi, Hyungwon, Won, Joong-Ho
Other Authors:	SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
Format:	Article
Published:	NLM (Medline) 2022
Subjects:	latent group lasso parallel computing proximal gradient sparse regression ultrahigh-dimensional omics data
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/232200
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Institution:	National University of Singapore

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