Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks
Published in Bioinformatics, 2021
In this paper led by Ruilin Li, we describe memory-efficient implementation of snpnet (sparse-snpnet and snpnet-v2).
This paper extends our previous works on the polygenic risk modeling with BAtch Iterative Screening Lasso (BASIL).
- BASIL algorithm and
snpnetfor quantiative and binary traits, J. Qian et al, 2020 - Single-response Cox model, Li et al, 2020
Reference: R. Li, C. Chang, Y. Tanigawa, B. Narasimhan, T. Hastie, R. Tibshirani, M. A. Rivas, Fast Numerical Optimization for Genome Sequencing Data in Population Biobanks. Bioinformatics 37(22), 4148-4155 (2021). https://doi.org/10.1093/bioinformatics/btab452 (full text)