Package: MetaCyto 1.34.0

Zicheng Hu

MetaCyto: MetaCyto: A package for meta-analysis of cytometry data

This package provides functions for preprocessing, automated gating and meta-analysis of cytometry data. It also provides functions that facilitate the collection of cytometry data from the ImmPort database.

Authors:Zicheng Hu, Chethan Jujjavarapu, Sanchita Bhattacharya, Atul J. Butte

MetaCyto_1.34.0.tar.gz
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MetaCyto_1.34.0.tgz(r-4.6-any)MetaCyto_1.34.0.tgz(r-4.5-any)
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manual.pdf |manual.html
card.svg |card.png
MetaCyto/json (API)

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

On BioConductor:MetaCyto-1.35.0(bioc 3.24)MetaCyto-1.34.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

immunooncologycellbiologyflowcytometryclusteringstatisticalmethodsoftwarecellbasedassayspreprocessing

4.78 score 20 scripts 3 mentions 23 exports 110 dependencies

Last updated from:0eb2b3009d (on RELEASE_3_23). Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR190
linux-devel-x86_64NOTE422
source / vignettesOK361
linux-release-x86_64NOTE358
macos-release-arm64NOTE241
macos-oldrel-arm64NOTE245
windows-develNOTE407
windows-releaseNOTE351
windows-oldrelNOTE376
wasm-releaseOK153

Exports:autoCluster.batchclusterStatscollectDatadensityPlotfcsInfoParserfilterLabelsfindCutoffflowHCflowSOM.MCglmAnalysislabelClusterlabelSummarymarkerFindermetaAnalysisnameUpdatorpanelSummaryplotGApreprocessingpreprocessing.batchsampleInfoParsersearchClustersearchCluster.batchset2Frame

Dependencies:abindALLbackportsbase64encBHBiobaseBiocGenericsbiocmakebootbroomcarcarDatacliclustercolorRampscolorspaceConsensusClusterPluscorrplotcowplotcpp11cytolibDerivdigestdir.expirydoBydplyrfarverfastclusterfilelockflowCoreFlowSOMforecastFormulafracdiffgenericsggforceggnewscaleggplot2ggpubrggrepelggsciggsignifgluegridExtragtableigraphisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSmathjaxrMatrixMatrixModelsmatrixStatsmetadatmetaformgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbapplypbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasRhdf5librlangRProtoBufLibrstatixRtsneS4VectorsS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsviridisLitewithrXMLzoo

Introduction to MetaCyto

Rendered fromMetaCyto_Vignette.Rmdusingknitr::rmarkdownon Jun 20 2026.

Last update: 2018-06-08
Started: 2017-04-20