birte: Bayesian Inference of Regulatory Influence on Expression (biRte)
Version 1.12.0

Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. biRte uses regulatory networks of TFs, miRNAs and possibly other factors, together with mRNA, miRNA and other available expression data to predict the relative influence of a regulator on the expression of its target genes. Inference is done in a Bayesian modeling framework using Markov-Chain-Monte-Carlo. A special feature is the possibility for follow-up network reverse engineering between active regulators.

Package details

AuthorHolger Froehlich, contributions by Benedikt Zacher
Bioconductor views Bayesian GeneExpression Microarray Network NetworkInference Regression Sequencing Transcription
MaintainerHolger Froehlich <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
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birte documentation built on May 31, 2017, 1:41 p.m.