R3CPET
3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process
Bioconductor version: 3.24 · Package version: 1.45.1
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("R3CPET")Details
| Maintainer | Mohamed Nadhir Djekidel <djek.nad@gmail.com> |
| Author | Djekidel MN, Yang Chen et al. |
| License | GPL (>=2) |
| URL | https://github.com/sirusb/R3CPET |
| Bug Reports | https://github.com/sirusb/R3CPET/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Bayesian, GeneExpression, GenePrediction, GraphAndNetwork, HiC, Network, NetworkInference, Software |
| Package Short Url | https://bioconductor.org/packages/R3CPET/ |
Citation
From within R, enter citation("R3CPET"):
Djekidel MN, Yang Chen et al. R3CPET: 3CPET: Finding Co-factor Complexes in Chia-PET experiment using a Hierarchical Dirichlet Process. doi:10.18129/B9.bioc.R3CPET, R package version 1.45.1, https://bioconductor.org/packages/R3CPET.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | R3CPET_1.45.1.tar.gz |
| Windows binary (x86_64) | R3CPET_1.45.1.zip |
Dependencies
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
Suggests: BiocStyle, knitr, TxDb.Hsapiens.UCSC.hg19.knownGene, biovizBase, biomaRt, AnnotationDbi, org.Hs.eg.db, shiny, ChIPpeakAnno