Package: scDotPlot 1.7.0

Benjamin I Laufer

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:Benjamin I Laufer [aut, cre], Brad A Friedman [aut]

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

5.28 score 7 stars 18 scripts 302 downloads 1 exports 195 dependencies

Last updated from:52c611fd18. Checks:1 NOTE, 9 OK. Indexed: yes.

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bioc-checksNOTE287
linux-devel-x86_64OK531
source / vignettesOK362
linux-release-x86_64OK459
macos-release-arm64OK271
macos-oldrel-arm64OK284
windows-develOK1459
windows-releaseOK1371
windows-oldrelOK1486
wasm-releaseOK245

Exports:scDotPlot

Dependencies:abindapeaplotaskpassassortheadbase64encbeachmatbeeswarmBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsbslibcachemCairocaToolscliclustercodetoolscommonmarkcowplotcpp11crosstalkcurldata.tableDelayedArraydeldirdigestdotCall64dplyrdqrngevaluatefarverfastDummiesfastmapfitdistrplusFNNfontawesomefontBitstreamVerafontLiberationfontquiverformatRfsfutile.loggerfutile.optionsfuturefuture.applygdtoolsgenericsGenomicRangesggbeeswarmggfunggiraphggplot2ggplotifyggrastrggrepelggridgesggsciggtreeglobalsgluegoftestgplotsgridExtragridGraphicsgtablegtoolsherehighrhtmltoolshtmlwidgetshttpuvhttricaigraphIRangesirlbaisobandjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelazyevallifecyclelistenvlmtestmagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimeminiUInlmeopensslotelparallellypatchworkpbapplypheatmappillarpkgconfigplotlyplyrpngpolyclipprogressrpromisespurrrR6raggRANNrappdirsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppHNSWRcppMLRcppProgressRcppTOMLreshape2reticulaterlangrmarkdownROCRrprojrootRSpectrarsvdRtsneS4ArraysS4VectorsS7sassScaledMatrixscalesscaterscattermoresctransformscuttleSeqinfoSeuratSeuratObjectshinySingleCellExperimentsitmosnowsourcetoolsspspamSparseArrayspatstat.dataspatstat.explorespatstat.geomspatstat.randomspatstat.sparsespatstat.univarspatstat.utilsstringistringrSummarizedExperimentsurvivalsyssystemfontstensortextshapingtibbletidyrtidyselecttidytreetinytextreeioutf8uwotvctrsviporviridisviridisLitewithrxfunxtableXVectoryamlyulab.utilszoo

scDotPlot

Rendered fromscDotPlot.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2024-09-17
Started: 2024-05-16

Readme and manuals

Help Manual

Help pageTopics
scDotPlotscDotPlot scDotPlot.default scDotPlot.Seurat scDotPlot.SingleCellExperiment