PEER 1.3

:: DESCRIPTION

PEER is a collection of Bayesian approaches to infer hidden determinants and their effects from gene expression profiles using factor analysis methods.

::DEVELOPER

Stegle group

:: REQUIREMENTS

• Windows / Linux / MacOsX
• R Package
• Python

:: DOWNLOAD

 PEER

:: MORE INFORMATION

Citation

Stegle O, Parts L, Durbin R, Winn J.
A Bayesian framework to account for complex non-genetic factors in gene expression levels greatly increases power in eQTL studies.
PLoS Comput Biol. 2010 May 6;6(5):e1000770. doi: 10.1371/journal.pcbi.1000770.

Using probabilistic estimation of expression residuals (PEER) to obtain increased power and interpretability of gene expression analyses.
Stegle O, Parts L, Piipari M, Winn J, Durbin R.
Nat Protoc. 2012 Feb 16;7(3):500-7. doi: 10.1038/nprot.2011.457.