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epiregulon
This is thereleased version of epiregulon; for the devel version, seeepiregulon.
Gene regulatory network inference from single cell epigenomic data
Bioconductor version: Release (3.22)
Gene regulatory networks model the underlying gene regulation hierarchies that drive gene expression and observed phenotypes. Epiregulon infers TF activity in single cells by constructing a gene regulatory network (regulons). This is achieved through integration of scATAC-seq and scRNA-seq data and incorporation of public bulk TF ChIP-seq data. Links between regulatory elements and their target genes are established by computing correlations between chromatin accessibility and gene expressions.
Author: Xiaosai Yao [aut, cre]
ORCID: 0000-0001-9729-0726, Tomasz Włodarczyk [aut] ORCID: 0000-0003-1554-9699, Aaron Lun [aut], Shang-Yang Chen [aut]
Maintainer: Xiaosai Yao <xiaosai.yao at gmail.com>
citation("epiregulon")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("epiregulon")For older versions of R, please refer to the appropriateBioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epiregulon")| Epiregulon tutorial with MultiAssayExperiment | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | GeneExpression,GeneRegulation,GeneTarget,Network,NetworkInference,SingleCell,Software,Transcription |
| Version | 2.0.2 |
| In Bioconductor since | BioC 3.19 (R-4.4) (1.5 years) |
| License | MIT + fileLICENSE |
| Depends | R (>= 4.5.0),SingleCellExperiment |
| Imports | AnnotationHub,BiocParallel,ExperimentHub,Matrix,Rcpp,S4Vectors,SummarizedExperiment,checkmate,entropy,lifecycle, methods,scran,scuttle, stats, utils,AnnotationHub,GenomeInfoDb,GenomicRanges,BSgenome.Hsapiens.UCSC.hg19,BSgenome.Hsapiens.UCSC.hg38,BSgenome.Mmusculus.UCSC.mm10,motifmatchr,IRanges,scrapper |
| System Requirements | |
| URL | https://github.com/xiaosaiyao/epiregulon/ |
| Bug Reports | https://github.com/xiaosaiyao/epiregulon/issues |
See More
| Suggests | knitr,rmarkdown, parallel,BiocStyle,testthat (>= 3.0.0),coin,scater,scMultiome |
| Linking To | Rcpp |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | epiregulon.extra |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | epiregulon_2.0.2.tar.gz |
| Windows Binary (x86_64) | epiregulon_2.0.1.zip |
| macOS Binary (x86_64) | epiregulon_2.0.2.tgz |
| macOS Binary (arm64) | epiregulon_2.0.2.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/epiregulon |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/epiregulon |
| Bioc Package Browser | https://code.bioconductor.org/browse/epiregulon/ |
| Package Short Url | https://bioconductor.org/packages/epiregulon/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.22 | Source Archive |