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

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

10.1093/bib/bbab256

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書目詳細資料
Main Authors:	Ko, Seyoon, Li, Ginny X., Choi, Hyungwon, Won, Joong-Ho
其他作者:	SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
格式:	Article
出版:	NLM (Medline) 2022
主題:	latent group lasso parallel computing proximal gradient sparse regression ultrahigh-dimensional omics data
在線閱讀:	https://scholarbank.nus.edu.sg/handle/10635/232200
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

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