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

10.1093/bib/bbab256

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-232200
record_format	dspace
spelling	sg-nus-scholar.10635-2322002023-07-30T22:22:09Z Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx Ko, Seyoon Li, Ginny X. Choi, Hyungwon Won, Joong-Ho SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH latent group lasso parallel computing proximal gradient sparse regression ultrahigh-dimensional omics data 10.1093/bib/bbab256 Briefings in bioinformatics 22 6 2022-10-11T08:07:20Z 2022-10-11T08:07:20Z 2021-07-13 Article Ko, Seyoon, Li, Ginny X., Choi, Hyungwon, Won, Joong-Ho (2021-07-13). Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx. Briefings in bioinformatics 22 (6). ScholarBank@NUS Repository. https://doi.org/10.1093/bib/bbab256 1477-4054 https://scholarbank.nus.edu.sg/handle/10635/232200 Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ NLM (Medline) Scopus OA2021
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	latent group lasso parallel computing proximal gradient sparse regression ultrahigh-dimensional omics data
spellingShingle	latent group lasso parallel computing proximal gradient sparse regression ultrahigh-dimensional omics data Ko, Seyoon Li, Ginny X. Choi, Hyungwon Won, Joong-Ho Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
description	10.1093/bib/bbab256
author2	SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
author_facet	SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Ko, Seyoon Li, Ginny X. Choi, Hyungwon Won, Joong-Ho
format	Article
author	Ko, Seyoon Li, Ginny X. Choi, Hyungwon Won, Joong-Ho
author_sort	Ko, Seyoon
title	Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
title_short	Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
title_full	Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
title_fullStr	Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
title_full_unstemmed	Computationally scalable regression modeling for ultrahigh-dimensional omics data with ParProx
title_sort	computationally scalable regression modeling for ultrahigh-dimensional omics data with parprox
publisher	NLM (Medline)
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/232200
_version_	1773551073359822848

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

Similar Items