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

Description Details Author(s) References

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 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.

Details

Package: birta
Type: Package
Version: 0.99.1
Date: 2012-03-6
License: GNU GENERAL PUBLIC LICENSE (GPL) >= 2
LazyLoad: yes

Author(s)

Benedikt Zacher, Khalid Abnaof, Stephan Gade, Erfan Younesi, Achim Tresch, Holger Frohlich Maintainer: Benedikt Zacher <zacher@lmb.uni-muenchen.de>

References

B. Zacher, K. Abnaof, S. Gade, E. Younesi, A. Tresch, and H. Frohlich. Joint Bayesian Inference of Condition Specific miRNA and Transcription Factor Activities from Combined Gene and microRNA Expression Data. submitted, 2012.


birta documentation built on April 28, 2020, 7:27 p.m.