Package: epiregulon 1.3.5
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:
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-4.5-x86_64)epiregulon_1.3.5.tgz(r-4.4-x86_64)epiregulon_1.3.5.tgz(r-4.4-arm64)
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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')) |
Bug tracker:https://github.com/xiaosaiyao/epiregulon/issues
On BioConductor:epiregulon-1.3.5(bioc 3.21)epiregulon-1.2.0(bioc 3.20)
singlecellgeneregulationnetworkinferencenetworkgeneexpressiontranscriptiongenetargetcpp
Last updated 1 months agofrom:ffa65fac4b. Checks:1 OK, 5 NOTE, 1 ERROR. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 17 2025 |
R-4.5-win-x86_64 | NOTE | Feb 17 2025 |
R-4.5-mac-x86_64 | ERROR | Feb 17 2025 |
R-4.5-linux-x86_64 | NOTE | Feb 17 2025 |
R-4.4-win-x86_64 | NOTE | Feb 17 2025 |
R-4.4-mac-x86_64 | NOTE | Feb 17 2025 |
R-4.4-mac-aarch64 | NOTE | Feb 17 2025 |
Exports:addLogFCaddMotifScoreaddTFMotifInfoaddWeightsaggregateAcrossCellsaggregateAcrossCellsFastcalculateActivitycalculateP2GgetRegulongetTFMotifInfopruneRegulon
Dependencies:abindalabaster.basealabaster.matrixalabaster.schemasannotateAnnotationDbiAnnotationHubaskpassassortheadAUCellAzureAuthAzureGraphAzureRMRAzureStorbackportsbase64encbeachmatBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocIOBiocManagerBiocNeighborsBiocParallelBiocSingularBiocVersionBiostringsbitbit64bitopsblobblusterBSgenomeBSgenome.Hsapiens.UCSC.hg19BSgenome.Hsapiens.UCSC.hg38BSgenome.Mmusculus.UCSC.mm10bslibcachemcaToolscheckmateclicliprclusterCNErcodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArrayDelayedMatrixStatsdigestDirichletMultinomialdplyrdqrngedgeRentropyevaluateExperimentHubfansifarverfastmapfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicAlignmentsGenomicRangesggplot2glueGO.dbgraphGSEABasegtablegtoolsh5mreadHDF5ArrayhighrhmshtmltoolshtmlwidgetshttrigraphIRangesirlbaisobandjosejquerylibjsonlitejsonvalidateKEGGRESTkernlabknitrlabelinglambda.rlaterlatticelazyevallifecyclelimmalocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemetapodmgcvmimemixtoolsmotifmatchrMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplogrplotlyplyrpngpoweRlawpracmaprettyunitsprogresspromisespurrrpwalignR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRCurlreadrreshape2restfulrrhdf5rhdf5filtersRhdf5libRhtslibrjsonrlangrmarkdownRsamtoolsRSQLitersvdrtracklayerS4ArraysS4VectorssassScaledMatrixscalesscMultiomescranscuttlesegmentedseqLogoSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsurvivalsysTFBSToolsTFMPvaluetibbletidyrtidyselecttinytextzdbUCSC.utilsutf8uuidV8vctrsviridisLitevroomwithrxfunXMLxml2xtableXVectoryaml