birta-package


Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. birta 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.


 package

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

birta-package function

Expression levels of mRNA molecules are regulated by different processes, comprising inhibition or activation by transcription factors and post-transcriptional degradation by microRNAs. birta 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.

birta-package: Joint Bayesian Inference of miRNA and Transcription Factor Activities

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