Package: R3CPET
Type: Package
Title: 3CPET: Finding Co-factor Complexes in Chia-PET experiment using
        a Hierarchical Dirichlet Process
Description: The package provides a method to infer the set of proteins that are more probably to work together to maintain chormatin interaction given a ChIA-PET experiment results.
Version: 1.30.0
Date: 2020-11-05
Author: Djekidel MN, Yang Chen et al.
Maintainer: Mohamed Nadhir Djekidel <djek.nad@gmail.com>
URL : https://github.com/sirusb/R3CPET
BugReports: https://github.com/sirusb/R3CPET/issues
License: GPL (>=2)
Depends: R (>= 3.2), Rcpp (>= 0.10.4), methods
Imports: methods, parallel, ggplot2, pheatmap, clValid, igraph,
        data.table, reshape2, Hmisc, RCurl, BiocGenerics, S4Vectors,
        IRanges (>= 2.13.12), GenomeInfoDb, GenomicRanges (>= 1.31.8),
        ggbio
LinkingTo: Rcpp
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, TxDb.Hsapiens.UCSC.hg19.knownGene,
        biovizBase, biomaRt, AnnotationDbi, org.Hs.eg.db, shiny,
        ChIPpeakAnno
biocViews: NetworkInference, GenePrediction, Bayesian, GraphAndNetwork,
        Network, GeneExpression, HiC
Packaged: 2022-11-01 22:40:32 UTC; biocbuild
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/R3CPET
git_branch: RELEASE_3_16
git_last_commit: 66ae293
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
Built: R 4.2.1; x86_64-apple-darwin17.0; 2022-11-02 04:44:26 UTC; unix
