Package: CyTOFpower 1.19.1
CyTOFpower: Power analysis for CyTOF experiments
This package is a tool to predict the power of CyTOF experiments in the context of differential state analyses. The package provides a shiny app with two options to predict the power of an experiment: i. generation of in-sicilico CyTOF data, using users input ii. browsing in a grid of parameters for which the power was already precomputed.
Authors:
CyTOFpower_1.19.1.tar.gz
CyTOFpower_1.19.1.zip(r-4.7)CyTOFpower_1.19.1.zip(r-4.6)CyTOFpower_1.19.1.zip(r-4.5)
CyTOFpower_1.19.1.tgz(r-4.6-any)CyTOFpower_1.19.1.tgz(r-4.5-any)
CyTOFpower_1.19.1.tar.gz(r-4.7-any)CyTOFpower_1.19.1.tar.gz(r-4.6-any)
CyTOFpower_1.19.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CyTOFpower/json (API)
NEWS
| # Install 'CyTOFpower' in R: |
| install.packages('CyTOFpower', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:CyTOFpower-1.19.1(bioc 3.24)CyTOFpower-1.18.1(bioc 3.23)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
flowcytometrysinglecellcellbiologystatisticalmethodsoftware
Last updated from:b8a8306426. Checks:1 NOTE, 9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 225 | ||
| linux-devel-x86_64 | OK | 564 | ||
| source / vignettes | OK | 279 | ||
| linux-release-x86_64 | OK | 285 | ||
| macos-release-arm64 | OK | 154 | ||
| macos-oldrel-arm64 | OK | 100 | ||
| windows-devel | OK | 131 | ||
| windows-release | OK | 153 | ||
| windows-oldrel | OK | 158 | ||
| wasm-release | OK | 191 |
Exports:CyTOFpower
Dependencies:abindALLbackportsbase64encBHbigmemorybigmemory.sriBiobaseBiocGenericsbiocmakeBiocParallelbootbroombslibcachemcarcarDatacaretcirclizeclasscliclockclueclustercodetoolscolorRampscolorspacecommonmarkComplexHeatmapConsensusClusterPluscorrplotcowplotcpp11crayoncrosstalkCytoGLMMcytolibdata.tableDelayedArraydendextendDerivdiagramdiffcytdigestdir.expirydoBydoParalleldplyrDTe1071edgeRellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapfilelockflashClustflexmixflowCoreFlowSOMfontawesomeforeachforecastformatRFormulafracdifffsfutile.loggerfutile.optionsfuturefuture.applygenericsGenomicRangesGetoptLongggforceggnewscaleggplot2ggpubrggrepelggsciggsignifGlobalOptionsglobalsgluegowergridExtragtablehardhathighrhtmltoolshtmlwidgetshttpuvigraphipredIRangesisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelavalazyevalleapslifecyclelimmalistenvlme4lmtestlocfitlogginglubridatemagrittrMASSMatrixMatrixGenericsMatrixModelsmatrixStatsmbestmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmodeltoolsmultcompmultcompViewmvtnormnlmenloptrnnetnumDerivotelparallellypbkrtestpheatmappillarpkgconfigplyrpngpolyclippolynompROCprodlimprogressrpromisesproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrecipesreformulasreshape2Rhdf5librjsonrlangrmarkdownrpartRProtoBufLibrstatixRtsneS4ArraysS4VectorsS7sandwichsassscalesscatterplot3dSeqinfoshapeshinyshinyFeedbackshinyjsshinyMatrixsnowsourcetoolsSparseArraySparseMsparsevctrsSQUAREMstatmodstringistringrstrucchangeSummarizedExperimentsurvivalsystemfontsTH.datatibbletidyrtidyselecttimechangetimeDatetinytextweenrtzdburcautf8uuidvctrsviridisviridisLitewithrxfunXMLxtableXVectoryamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CyTOFpower: R-package to predict the power of a CyTOF experiment | CyTOFpower |
