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
DOI: 10.32614/CRAN.package.BICORN
Author: Xi Chen [aut, cre], Jianhua Xuan [aut]
Maintainer: Xi Chen <xichen86 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: BICORN results


Reference manual: BICORN.pdf
Vignettes: An Introduction to BICORN


Package source: BICORN_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BICORN_0.1.0.tgz, r-oldrel (arm64): BICORN_0.1.0.tgz, r-release (x86_64): BICORN_0.1.0.tgz, r-oldrel (x86_64): BICORN_0.1.0.tgz


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