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

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

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article numbere265
JournalStat
Volume9
Issue number1
DOIs
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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