Package: BICORN 0.1.0
Xi Chen
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.
Authors:
BICORN_0.1.0.tar.gz
BICORN_0.1.0.tar.gz(r-4.5-noble)BICORN_0.1.0.tar.gz(r-4.4-noble)
BICORN_0.1.0.tgz(r-4.4-emscripten)BICORN_0.1.0.tgz(r-4.3-emscripten)
BICORN.pdf |BICORN.html✨
BICORN/json (API)
# Install 'BICORN' in R: |
install.packages('BICORN', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Binding_TFs - TFs in the prior binding network
- Binding_genes - Genes in the prior binding network
- Binding_matrix - Prior TF-gene binding network
- Exp_data - Gene expression data
- Exp_genes - Genes in the expression data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:acf2011f4a. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
Exports:BICORNdata_integration
Dependencies: