Package: SuperCellCyto 1.3.0

Givanna Putri

SuperCellCyto: SuperCell For Cytometry Data

SuperCellCyto provides the ability to summarise cytometry data into supercells by merging together cells that are similar in their marker expressions using the SuperCell package.

Authors:Givanna Putri [aut, cre], George Howitt [aut], Felix Marsh-Wakefield [aut], Thomas Ashhurst [aut], Belinda Phipson [aut]

SuperCellCyto_1.3.0.tar.gz
SuperCellCyto_1.3.0.zip(r-4.7)SuperCellCyto_1.3.0.zip(r-4.6)SuperCellCyto_1.3.0.zip(r-4.5)
SuperCellCyto_1.3.0.tgz(r-4.6-any)SuperCellCyto_1.3.0.tgz(r-4.5-any)
SuperCellCyto_1.3.0.tar.gz(r-4.7-any)SuperCellCyto_1.3.0.tar.gz(r-4.6-any)
SuperCellCyto_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
SuperCellCyto/json (API)
NEWS

# Install 'SuperCellCyto' in R:
install.packages('SuperCellCyto', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/phipsonlab/supercellcyto/issues

Pkgdown/docs site:https://phipsonlab.github.io

On BioConductor:SuperCellCyto-1.3.0(bioc 3.24)SuperCellCyto-1.2.0(bioc 3.23)

cellbiologyflowcytometrysoftwaresinglecellbioinformaticscomputational-biologycytometry

6.63 score 13 stars 22 scripts 214 downloads 3 exports 136 dependencies

Last updated from:a36270636d. Checks:1 NOTE, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksNOTE204
linux-devel-x86_64OK483
source / vignettesOK383
linux-release-x86_64OK553
macos-release-arm64OK332
macos-oldrel-arm64OK308
windows-develOK385
windows-releaseOK388
windows-oldrelOK377
wasm-releaseOK190

Exports:recomputeSupercellsrunSuperCellCytosimCytoData

Dependencies:askpassbackportsbase64encBHBiocParallelbitbit64bootbroombslibcachemcheckmateclicliprclustercodetoolscolorspacecorpcorcpp11crayondata.tabledbscandigestdplyrentropyevaluatefarverfastmapfontawesomeforcatsforeachforeignformatRFormulafsfutile.loggerfutile.optionsgdatagenericsggplot2glmnetgluegridExtragtablegtoolshavenherehighrHmischmshtmlTablehtmltoolshtmlwidgetsigraphirlbaisobanditeratorsjomojquerylibjsonliteknitrlabelinglambda.rlatticelifecyclelme4magrittrMASSMatrixmatrixStatsmemoisemicemimeminqamitmlnlmenloptrnnetnumDerivopensslordinalpanpatchworkpillarpkgconfigplotfunctionsplyrpngprettyunitsprogressproxypurrrR6RANNrappdirsrbibutilsRColorBrewerRcppRcppEigenRcppTOMLRdpackreadrreformulasreticulaterlangrmarkdownrpartrprojrootRSpectrarstudioapiRtsneS7sassscalesshapesnowstringistringrSuperCellsurvivalsystibbletidyrtidyselecttinytextzdbucminfumaputf8vctrsviridisLitevroomweightswithrxfunyaml

How to create supercells

Rendered fromSuperCellCyto.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-09-22
Started: 2025-09-22

How to Prepare Data for SuperCellCyto

Rendered fromhow_to_prepare_data.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-09-22
Started: 2024-01-19

Interoperability with Seurat

Rendered frominteroperability_with_seurat.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-09-22
Started: 2024-01-24

Interoperability with SingleCellExperiment

Rendered frominteroperability_with_sce.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-10-14
Started: 2024-01-24

Using SuperCellCyto for Stratified Summarising

Rendered fromusing_supercellcyto_for_stratified_summarising.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-09-22
Started: 2024-01-22