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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 |
| 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.
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