Package: chevreulProcess 1.3.0
chevreulProcess: Tools for managing SingleCellExperiment objects as projects
Tools for analyzing SingleCellExperiment objects as projects. for input into the chevreulShiny app downstream. Includes functions for analysis of single cell RNA sequencing data. Supported by NIH grants R01CA137124 and R01EY026661 to David Cobrinik.
Authors:
chevreulProcess_1.3.0.tar.gz
chevreulProcess_1.3.0.zip(r-4.6)chevreulProcess_1.3.0.zip(r-4.5)
chevreulProcess_1.3.0.tgz(r-4.6-any)chevreulProcess_1.3.0.tgz(r-4.5-any)
chevreulProcess_1.3.0.tar.gz(r-4.6-any)chevreulProcess_1.3.0.tar.gz(r-4.5-any)
chevreulProcess_1.3.0.tgz(r-4.5-emscripten)
chevreulProcess.pdf |chevreulProcess.html✨
chevreulProcess/json (API)
NEWS
| # Install 'chevreulProcess' in R: |
| install.packages('chevreulProcess', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cobriniklab/chevreulprocess/issues
- cc.genes.cyclone - Cyclone cell cycle pairs by symbol
- ensembl_version - Ensembl version used for build
- grch38 - Human annotation data
- grch38_tx2gene - Human transcripts to genes
- human_to_mouse_homologs - Gene Homologs Between Human and Mouse
- small_example_dataset - Small example SingleCellExperiment
- tiny_sce - Tiny example SingleCellExperiment
On BioConductor:chevreulProcess-1.3.0(bioc 3.23)chevreulProcess-1.2.0(bioc 3.22)
coveragernaseqsequencingvisualizationgeneexpressiontranscriptionsinglecelltranscriptomicsnormalizationpreprocessingqualitycontroldimensionreductiondataimport
Last updated from:c6b3ecf8d8. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 271 | ||
| linux-devel-x86_64 | NOTE | 577 | ||
| source / vignettes | OK | 417 | ||
| linux-release-x86_64 | NOTE | 480 | ||
| macos-devel-arm64 | NOTE | 313 | ||
| macos-release-arm64 | NOTE | 407 | ||
| windows-devel | NOTE | 498 | ||
| windows-release | NOTE | 458 | ||
| wasm-release | OK | 242 |
Exports:find_all_markersgenes_to_transcriptsget_colDataget_feature_typesget_featuresget_variable_featuresintegration_workflowload_bigwigspropagate_spreadsheet_changesquery_experimentrecord_experiment_dataregress_cell_cyclereintegrate_scesce_calcnsce_clustersce_desce_integratesce_processset_colDataset_feature_typesplitByColtranscripts_to_genes
Dependencies:abindAnnotationDbiAnnotationFilteraskpassassortheadbase64encbatchelorbeachmatbeeswarmBHBiobaseBiocGenericsBiocIOBiocNeighborsBiocParallelBiocSingularBiostringsbitbit64bitopsblobblusterbriocachemCairocallrcigarillocirclizeclicliprclustercmdfuncodetoolscolorspacecpp11crayoncredentialscurlDBIDelayedArrayDelayedMatrixStatsdescdiffobjdplyrdqrngedgeREnsDb.Hsapiens.v86ensembldbevaluatefarverfastmapFNNformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicAlignmentsGenomicFeaturesGenomicRangesgertggbeeswarmggplot2ggrastrggrepelghgitcredsGlobalOptionsgluegridExtragtablehmshttrhttr2igraphiniIRangesirlbaisobandjsonliteKEGGRESTlabelinglambda.rlatticelazyevallifecyclelimmalocfitmagrittrMatrixMatrixGenericsmatrixStatsmegadepthmemoisemetapodmimeopensslpheatmappillarpkgbuildpkgconfigpkgloadpngpraiseprettyunitsprocessxprogressProtGenericspspurrrR.methodsS3R.ooR.utilsR6raggrappdirsRColorBrewerRcppRcppAnnoyRcppEigenRcppMLRcppProgressRCurlreadrResidualMatrixrestfulrRhtslibrjsonrlangrprojrootRsamtoolsRSpectraRSQLiterstudioapirsvdrtracklayerRtsneS4ArraysS4VectorsS7ScaledMatrixscalesscaterscranscuttleSeqinfoshapeSingleCellExperimentsitmosnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsyssystemfontstestthattextshapingtibbletidyrtidyselecttzdbUCSC.utilsusethisutf8uwotvctrsviporviridisviridisLitevroomwaldowhiskerwithrxfunXMLXVectoryamlzip
