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 |
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