[Preprint] Fast Sparse-Group Lasso Method for Multi-response Cox Model with Applications to UK Biobank

Preprint posted on bioRxiv, 2020

In this pre-print, we describe a new method to fit a sparse Cox Model for multiple time-to-event phenotypes from large-scale (> 1 million features) genetic dataset.

This study built on other techniques that we’ve been developping in the Rivas lab with a collaboration with the Hastie and the Tibshirani labs.

Citation: R. Li, Y. Tanigawa, J. M. Justesen, J. Taylor, T. Hastie, R. Tibshirani, M. A. Rivas, Fast Sparse-Group Lasso Method for Multi-response Cox Model with Applications to UK Biobank. bioRxiv, 2020.06.21.163675 (2020). https://doi.org/10.1101/2020.06.21.163675