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.
|Author||Holger Froehlich, contributions by Benedikt Zacher|
|Bioconductor views||Bayesian GeneExpression Microarray Network NetworkInference Regression Sequencing Transcription|
|Maintainer||Holger Froehlich <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on GitHub|
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