Description Details Author(s) References
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: | birta |
Type: | Package |
Version: | 0.99.1 |
Date: | 2012-03-6 |
License: | GNU GENERAL PUBLIC LICENSE (GPL) >= 2 |
LazyLoad: | yes |
Benedikt Zacher, Khalid Abnaof, Stephan Gade, Erfan Younesi, Achim Tresch, Holger Frohlich Maintainer: Benedikt Zacher <zacher@lmb.uni-muenchen.de>
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.