FastLORS: Joint modelling for expression quantitative trait loci mapping in R

Jacob Rhyne, X. Jessie Jeng, Eric C. Chi, Jung Ying Tzeng

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

FastLORS is a software package that implements a new algorithm to solve sparse multivariate regression for expression quantitative trait loci (eQTLs) mapping. FastLORS solves the same optimization problem as LORS, an existing popular algorithm. The optimization problem is solved through inexact block coordinate descent with updates by proximal gradient steps, which reduces the computational cost compared with LORS. We apply LORS and FastLORS to a real dataset for eQTL mapping and demonstrate that FastLORS delivers comparable results with LORS in much less computing time.

原文English
文章編號e265
期刊Stat
9
發行號1
DOIs
出版狀態Published - 2020

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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