Package: MetaCyto 1.29.0

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

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MetaCyto.pdf |MetaCyto.html
MetaCyto/json (API)

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

Peer review:

On BioConductor:MetaCyto-1.29.0(bioc 3.21)MetaCyto-1.28.0(bioc 3.20)

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

immunooncologycellbiologyflowcytometryclusteringstatisticalmethodsoftwarecellbasedassayspreprocessing

4.73 score 18 scripts 213 downloads 3 mentions 23 exports 95 dependencies

Last updated 2 months agofrom:19f7705261. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-winNOTEDec 04 2024
R-4.5-linuxNOTEDec 04 2024
R-4.4-winNOTEDec 04 2024
R-4.4-macNOTEDec 04 2024
R-4.3-winNOTEDec 04 2024
R-4.3-macNOTEDec 04 2024

Exports:autoCluster.batchclusterStatscollectDatadensityPlotfcsInfoParserfilterLabelsfindCutoffflowHCflowSOM.MCglmAnalysislabelClusterlabelSummarymarkerFindermetaAnalysisnameUpdatorpanelSummaryplotGApreprocessingpreprocessing.batchsampleInfoParsersearchClustersearchCluster.batchset2Frame

Dependencies:abindALLbackportsBHBiobaseBiocGenericsbootbroomcarcarDatacliclustercolorRampscolorspaceConsensusClusterPluscorrplotcowplotcpp11cytolibDerivdoBydplyrfansifarverfastclusterflowCoreFlowSOMFormulagenericsggforceggnewscaleggplot2ggpubrggrepelggsciggsignifgluegridExtragtableigraphisobandlabelinglatticelifecyclelme4magrittrMASSmathjaxrMatrixMatrixModelsmatrixStatsmetadatmetaformgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbapplypbkrtestpillarpkgconfigpolyclippolynompurrrquantregR6RColorBrewerRcppRcppEigenRhdf5librlangRProtoBufLibrstatixRtsneS4VectorsscalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttweenrutf8vctrsviridisLitewithrXML

Introduction to MetaCyto

Rendered fromMetaCyto_Vignette.Rmdusingknitr::rmarkdownon Dec 04 2024.

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