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birta (version 1.16.0)

Bayesian Inference of Regulation of Transcriptional Activity

Description

Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. birta (Bayesian Inference of Regulation of Transcriptional Activity) uses the regulatory networks of TFs and miRNAs together with mRNA and miRNA expression data to predict switches in regulatory activity between two conditions. A Bayesian network is used to model the regulatory structure and Markov-Chain-Monte-Carlo is applied to sample the activity states.

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Version

Version

1.16.0

License

GPL (>= 2)

Maintainer

Benedikt Zacher

Last Published

February 15th, 2017

Functions in birta (1.16.0)

birta-package

Joint Bayesian Inference of miRNA and Transcription Factor Activities
EColiOxygen

Example data set from E. Coli to sample TF activities.
limmaAnalysis-methods

Methods for Function limmaAnalysis in Package birta
birta

Main interface for Bayesian Inference of Regulation of Transcriptional Activity.
EColiNetwork

Example TF-target graph from Regulon DB.
birta-methods

Methods for Function birta in Package birta
potential_swaps

Potential swap moves for TF-target and miRNA-target networks (see genestes data set).
sim

Simulated expression data for mRNAs and miRNAs.
get_potential_swaps

Calculate swap partner for TF-/miRNA-target graph.
TFexpr

Transcription factor expression values for the aerobic-anaerobic growth experiment.
limmaAnalysis

Perform a limma analysis on expression data.
plotConvergence

Plotting the likelihood along MCMC sampling.
genesets

TF-target and miRNA-target networks for simulated example.