Package: SuperCellCyto 1.3.0
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:
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
Last updated from:a36270636d. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 204 | ||
| linux-devel-x86_64 | OK | 483 | ||
| source / vignettes | OK | 383 | ||
| linux-release-x86_64 | OK | 553 | ||
| macos-release-arm64 | OK | 332 | ||
| macos-oldrel-arm64 | OK | 308 | ||
| windows-devel | OK | 385 | ||
| windows-release | OK | 388 | ||
| windows-oldrel | OK | 377 | ||
| wasm-release | OK | 190 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Recompute supercells | recomputeSupercells |
| Run SuperCellCyto on Cytometry Data | runSuperCellCyto |
| Simulate cytometry data | simCytoData |
