
  This data set contains simulated expression values of miRNAs and mRNAs, together with the associated TF- and miRNA-target networks. 


datasets

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.

Benedikt Zacher

birta

Bayesian Inference of Regulation of Transcriptional Activity

sim function

A list  containing the entries dat.mRNA (mRNA expression), dat.miRNA (miRNA expression), miRNAstates (activity states of miRNAs), TFstates (activity states of TFs, TRANSFAC), genesetsmiRNA (miRNA-target graph, targetScan),  genesetsTFs (TF-taget graph).

Format

Source

This data set contains simulated expression values of miRNAs and mRNAs, together with the associated TF- and miRNA-target networks.

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sim: Simulated expression data for mRNAs and miRNAs.

Description

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References