Package: epiregulon 1.3.0
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_1.3.0.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')) |
Bug tracker:https://github.com/xiaosaiyao/epiregulon/issues
On BioConductor:epiregulon-1.1.6(bioc 3.20)epiregulon-1.0.1(bioc 3.19)
singlecellgeneregulationnetworkinferencenetworkgeneexpressiontranscriptiongenetarget
Last updated 23 days agofrom:2244afc4c4. Checks:OK: 2 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win-x86_64 | NOTE | Oct 31 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 30 2024 |
R-4.4-win-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 31 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Aug 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