Package: scDotPlot 1.6.0
scDotPlot: Cluster a Single-cell RNA-seq Dot Plot
Dot plots of single-cell RNA-seq data allow for an examination of the relationships between cell groupings (e.g. clusters) and marker gene expression. The scDotPlot package offers a unified approach to perform a hierarchical clustering analysis and add annotations to the columns and/or rows of a scRNA-seq dot plot. It works with SingleCellExperiment and Seurat objects as well as data frames.
Authors:
scDotPlot_1.6.0.tar.gz
scDotPlot_1.6.0.zip(r-4.7)scDotPlot_1.6.0.zip(r-4.6)scDotPlot_1.6.0.zip(r-4.5)
scDotPlot_1.6.0.tgz(r-4.6-any)scDotPlot_1.6.0.tgz(r-4.5-any)
scDotPlot_1.6.0.tar.gz(r-4.7-any)scDotPlot_1.6.0.tar.gz(r-4.6-any)
scDotPlot_1.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
scDotPlot/json (API)
NEWS
| # Install 'scDotPlot' in R: |
| install.packages('scDotPlot', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ben-laufer/scdotplot/issues
On BioConductor:scDotPlot-1.7.0(bioc 3.24)scDotPlot-1.6.0(bioc 3.23)
softwarevisualizationdifferentialexpressiongeneexpressiontranscriptionrnaseqsinglecellsequencingclustering
Last updated from:8f805b873b (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 304 | ||
| linux-devel-x86_64 | OK | 424 | ||
| source / vignettes | OK | 438 | ||
| linux-release-x86_64 | OK | 440 | ||
| macos-release-arm64 | OK | 279 | ||
| macos-oldrel-arm64 | OK | 242 | ||
| windows-devel | OK | 1453 | ||
| windows-release | OK | 1430 | ||
| windows-oldrel | OK | 1049 | ||
| wasm-release | OK | 245 |
Exports:scDotPlot
Dependencies:abindapeaplotaskpassassortheadbase64encbeachmatbeeswarmBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsbslibcachemCairocaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tableDelayedArraydeldirdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomefontBitstreamVerafontLiberationfontquiverformatRfsfutile.loggerfutile.optionsfuturefuture.applygdtoolsgenericsGenomicRangesggbeeswarmggfunggiraphggplot2ggplotifyggrastrggrepelggridgesggsciggtreeglobalsgluegoftestgplotsgridExtragridGraphicsgtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInlmeopensslotelparallellypatchworkpbapplypheatmappillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6raggRANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppMLRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectrarsvdRtsneS4ArraysS4VectorsS7sassScaledMatrixscalesscaterscattermoresctransformscuttleSeqinfoSeuratSeuratObjectshinySingleCellExperimentsitmosnowsourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsyssystemfontstensortextshapingtibbletidyrtidyselecttidytreetinytextreeioutf8uwotvctrsviporviridisviridisLitewithrxfunxtableXVectoryamlyulab.utilszoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| scDotPlot | scDotPlot scDotPlot.default scDotPlot.Seurat scDotPlot.SingleCellExperiment |
