BICORN: Integrative Inference of De Novo Cis-Regulatory Modules

Prior transcription factor binding knowledge and target gene expression data are integrated in a Bayesian framework for functional cis-regulatory module inference. Using Gibbs sampling, we iteratively estimate transcription factor associations for each gene, regulation strength for each binding event and the hidden activity for each transcription factor.

Version: 0.1.0
Depends: R (≥ 3.4)
Imports: stats
Suggests: knitr, rmarkdown
Published: 2018-06-06
Author: Xi Chen [aut, cre], Jianhua Xuan [aut]
Maintainer: Xi Chen <xichen86 at vt.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: BICORN results

Downloads:

Reference manual: BICORN.pdf
Vignettes: An Introduction to BICORN
Package source: BICORN_0.1.0.tar.gz
Windows binaries: r-devel: BICORN_0.1.0.zip, r-release: BICORN_0.1.0.zip, r-oldrel: BICORN_0.1.0.zip
OS X binaries: r-release: BICORN_0.1.0.tgz, r-oldrel: BICORN_0.1.0.tgz

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