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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 vt.edu> |
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: BICORN_0.1.0.zip, r-release: BICORN_0.1.0.zip, r-oldrel: BICORN_0.1.0.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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