Package: MetaCyto 1.35.0

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_1.35.0.tar.gz
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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.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

4.76 score 19 scripts 390 downloads 3 mentions 23 exports 110 dependencies

Last updated from:f001b78009. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR177
linux-devel-x86_64NOTE391
source / vignettesOK365
linux-release-x86_64NOTE431
macos-release-arm64NOTE345
macos-oldrel-arm64NOTE232
windows-develNOTE393
windows-releaseNOTE402
windows-oldrelNOTE361
wasm-releaseOK155

Exports:autoCluster.batchclusterStatscollectDatadensityPlotfcsInfoParserfilterLabelsfindCutoffflowHCflowSOM.MCglmAnalysislabelClusterlabelSummarymarkerFindermetaAnalysisnameUpdatorpanelSummaryplotGApreprocessingpreprocessing.batchsampleInfoParsersearchClustersearchCluster.batchset2Frame

Dependencies:abindALLbackportsbase64encBHBiobaseBiocGenericsbiocmakebootbroomcarcarDatacliclustercolorRampscolorspaceConsensusClusterPluscorrplotcowplotcpp11cytolibDerivdigestdir.expirydoBydplyrfarverfastclusterfilelockflowCoreFlowSOMforecastFormulafracdiffgenericsggforceggnewscaleggplot2ggpubrggrepelggsciggsignifgluegridExtragtableigraphisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSmathjaxrMatrixMatrixModelsmatrixStatsmetadatmetaformgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbapplypbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasRhdf5librlangRProtoBufLibrstatixRtsneS4VectorsS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsviridisLitewithrXMLzoo

Introduction to MetaCyto

Rendered fromMetaCyto_Vignette.Rmdusingknitr::rmarkdownon Jun 09 2026.

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