/tigress

Trustful Inference of Gene REgulation using Stability Selection

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TIGRESS: Trustful Inference of Gene REgulation using Stability Selection

This R package implements the TIGRESS method for gene regulatory network (GRN) inference from gene expression data.

TIGRESS formulates GRN inference as a sparse regression problem, and solves it with a LARS regression model combined with stability selection. Check reference below for more details.

Installation

To install TIGRESS from R, type:

install.packages('devtools')
library(devtools)
install_github("jpvert/tigress")

Citation

A.-C. Haury, F. Mordelet, P. Vera-Licona and J.-P. Vert. TIGRESS: trustful inference of gene regulation using stability selection. BMC systems biology 6(1), 145-153, 2012