Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and posttranscriptional 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 MarkovChainMonteCarlo. A special feature is the possibility for followup network reverse engineering between active regulators.
Package details 


Author  Holger Froehlich, contributions by Benedikt Zacher 
Bioconductor views  Bayesian GeneExpression Microarray Network NetworkInference Regression Sequencing Transcription 
Maintainer  Holger Froehlich <[email protected]> 
License  GPL (>= 2) 
Version  1.18.0 
Package repository  View on Bioconductor 
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