Package: scDotPlot 1.7.0
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_1.7.0.tar.gz
scDotPlot_1.7.0.zip(r-4.7)scDotPlot_1.7.0.zip(r-4.6)scDotPlot_1.7.0.zip(r-4.5)
scDotPlot_1.7.0.tgz(r-4.6-any)scDotPlot_1.7.0.tgz(r-4.5-any)
scDotPlot_1.7.0.tar.gz(r-4.7-any)scDotPlot_1.7.0.tar.gz(r-4.6-any)
scDotPlot_1.7.0.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.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:52c611fd18. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 287 | ||
| linux-devel-x86_64 | OK | 531 | ||
| source / vignettes | OK | 362 | ||
| linux-release-x86_64 | OK | 459 | ||
| macos-release-arm64 | OK | 271 | ||
| macos-oldrel-arm64 | OK | 284 | ||
| windows-devel | OK | 1459 | ||
| windows-release | OK | 1371 | ||
| windows-oldrel | OK | 1486 | ||
| 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 |
