Package: epiregulon 1.3.5

Xiaosai Yao

epiregulon: Gene regulatory network inference from single cell epigenomic data

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.

Authors:Xiaosai Yao [aut, cre], Tomasz Włodarczyk [aut], Aaron Lun [aut], Shang-Yang Chen [aut]

epiregulon_1.3.5.tar.gz
epiregulon_1.3.5.zip(r-4.5)epiregulon_1.3.5.zip(r-4.4)
epiregulon_1.3.5.tgz(r-4.4-x86_64)epiregulon_1.3.5.tgz(r-4.4-arm64)
epiregulon_1.3.5.tar.gz(r-4.5-noble)epiregulon_1.3.5.tar.gz(r-4.4-noble)
epiregulon_1.3.5.tgz(r-4.4-emscripten)
epiregulon.pdf |epiregulon.html
epiregulon/json (API)
NEWS

# Install 'epiregulon' in R:
install.packages('epiregulon', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/xiaosaiyao/epiregulon/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On BioConductor:epiregulon-1.3.2(bioc 3.21)epiregulon-1.2.0(bioc 3.20)

singlecellgeneregulationnetworkinferencenetworkgeneexpressiontranscriptiongenetargetcpp

6.56 score 12 stars 17 scripts 130 downloads 11 exports 204 dependencies

Last updated 5 days agofrom:ffa65fac4b. Checks:1 OK, 5 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 18 2025
R-4.5-win-x86_64NOTEJan 18 2025
R-4.5-linux-x86_64NOTEJan 18 2025
R-4.4-win-x86_64NOTEJan 18 2025
R-4.4-mac-x86_64NOTEJan 18 2025
R-4.4-mac-aarch64NOTEJan 18 2025

Exports:addLogFCaddMotifScoreaddTFMotifInfoaddWeightsaggregateAcrossCellsaggregateAcrossCellsFastcalculateActivitycalculateP2GgetRegulongetTFMotifInfopruneRegulon

Dependencies:abindalabaster.basealabaster.matrixalabaster.schemasannotateAnnotationDbiAnnotationHubaskpassassortheadAUCellAzureAuthAzureGraphAzureRMRAzureStorbackportsbase64encbeachmatBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocIOBiocManagerBiocNeighborsBiocParallelBiocSingularBiocVersionBiostringsbitbit64bitopsblobblusterBSgenomeBSgenome.Hsapiens.UCSC.hg19BSgenome.Hsapiens.UCSC.hg38BSgenome.Mmusculus.UCSC.mm10bslibcachemcaToolscheckmateclicliprclusterCNErcodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArrayDelayedMatrixStatsdigestDirichletMultinomialdplyrdqrngedgeRentropyevaluateExperimentHubfansifarverfastmapfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2glueGO.dbgraphGSEABasegtablegtoolsHDF5ArrayhighrhmshtmltoolshtmlwidgetshttrigraphIRangesirlbaisobandjosejquerylibjsonlitejsonvalidateKEGGRESTkernlabknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemetapodmgcvmimemixtoolsmotifmatchrMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplogrplotlyplyrpngpoweRlawpracmaprettyunitsprogresspromisespurrrpwalignR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRCurlreadrreshape2restfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrmarkdownRsamtoolsRSQLitersvdrtracklayerS4ArraysS4VectorssassScaledMatrixscalesscMultiomescranscuttlesegmentedseqLogoSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsysTFBSToolsTFMPvaluetibbletidyrtidyselecttinytextzdbUCSC.utilsutf8uuidV8vctrsviridisLitevroomwithrxfunXMLxml2xtableXVectoryaml

Epiregulon tutorial with MultiAssayExperiment

Rendered frommultiome.mae.Rmdusingknitr::rmarkdownon Jan 18 2025.

Last update: 2024-11-24
Started: 2022-09-12