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.
Benedikt Zacher <zacher at lmb.uni-muenchen.de>, Holger Froehlich <frohlich at bit.uni-bonn.de>
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Bioinformatics. 2012 Jul 1;28(13):1714-20. doi: 10.1093/bioinformatics/bts257. Epub 2012 May 4.
Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data.
Zacher B1, Abnaof K, Gade S, Younesi E, Tresch A, Fr?hlich H.