Package: epiregulon 1.3.0

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_1.3.0.tar.gz
epiregulon_1.3.0.zip(r-4.5)epiregulon_1.3.0.zip(r-4.4)epiregulon_1.1.2.zip(r-4.3)
epiregulon_1.3.0.tgz(r-4.4-x86_64)epiregulon_1.3.0.tgz(r-4.4-arm64)
epiregulon_1.3.0.tar.gz(r-4.5-noble)epiregulon_1.3.0.tar.gz(r-4.4-noble)
epiregulon_1.3.0.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-1.1.6(bioc 3.20)epiregulon-1.0.1(bioc 3.19)

singlecellgeneregulationnetworkinferencenetworkgeneexpressiontranscriptiongenetarget

6.70 score 12 stars 14 scripts 161 downloads 11 exports 205 dependencies

Last updated 23 days agofrom:2244afc4c4. Checks:OK: 2 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 30 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64OKAug 16 2024

Exports:addLogFCaddMotifScoreaddTFMotifInfoaddWeightsaggregateAcrossCellsaggregateAcrossCellsFastcalculateActivitycalculateP2GgetRegulongetTFMotifInfopruneRegulon

Dependencies:abindalabaster.basealabaster.matrixalabaster.schemasannotateAnnotationDbiAnnotationHubaskpassassortheadAUCellAzureAuthAzureGraphAzureRMRAzureStorbackportsbase64encbeachmatBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocIOBiocManagerBiocNeighborsBiocParallelBiocSingularBiocVersionBiostringsbitbit64bitopsblobblusterBSgenomeBSgenome.Hsapiens.UCSC.hg19BSgenome.Hsapiens.UCSC.hg38BSgenome.Mmusculus.UCSC.mm10bslibcachemcaToolscheckmateclicliprclusterCNErcodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArrayDelayedMatrixStatsdigestDirichletMultinomialdplyrdqrngedgeRentropyevaluateExperimentHubfansifarverfastmapfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2glueGO.dbgraphGSEABasegtablegtoolsHDF5ArrayhighrhmshtmltoolshtmlwidgetshttrigraphIRangesirlbaisobandjosejquerylibjsonlitejsonvalidateKEGGRESTkernlabknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemetapodmgcvmimemixtoolsmotifmatchrMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplogrplotlyplyrpngpoweRlawpracmaprettyunitsprogresspromisespurrrpwalignR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRCurlreadrreshape2restfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrmarkdownRsamtoolsRSQLitersvdrtracklayerS4ArraysS4VectorssassScaledMatrixscalesscMultiomescranscuttlesegmentedseqLogoSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsysTFBSToolsTFMPvaluetibbletidyrtidyselecttinytextzdbUCSC.utilsutf8uuidV8vctrsviridisLitevroomwithrxfunXMLxml2xtableXVectoryamlzlibbioc

Epiregulon tutorial with MultiAssayExperiment

Rendered frommultiome.mae.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2024-06-16
Started: 2022-09-12