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 |
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Author | Holger Froehlich, contributions by Benedikt Zacher |
Bioconductor views | Bayesian GeneExpression Microarray Network NetworkInference Regression Sequencing Transcription |
Maintainer | Holger Froehlich <frohlich@bit.uni-bonn.de> |
License | GPL (>= 2) |
Version | 1.18.0 |
Package repository | View on Bioconductor |
Installation |
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