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

• 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
• 機構: National University of Singapore

10.1093/bib/bbab256