Package: CytoGLMM 1.20.0

Christof Seiler

CytoGLMM: Conditional Differential Analysis for Flow and Mass Cytometry Experiments

The CytoGLMM R package implements two multiple regression strategies: A bootstrapped generalized linear model (GLM) and a generalized linear mixed model (GLMM). Most current data analysis tools compare expressions across many computationally discovered cell types. CytoGLMM focuses on just one cell type. Our narrower field of application allows us to define a more specific statistical model with easier to control statistical guarantees. As a result, CytoGLMM finds differential proteins in flow and mass cytometry data while reducing biases arising from marker correlations and safeguarding against false discoveries induced by patient heterogeneity.

Authors:Christof Seiler [aut, cre]

CytoGLMM_1.20.0.tar.gz
CytoGLMM_1.20.0.zip(r-4.7)CytoGLMM_1.20.0.zip(r-4.6)CytoGLMM_1.20.0.zip(r-4.5)
CytoGLMM_1.20.0.tgz(r-4.6-any)CytoGLMM_1.20.0.tgz(r-4.5-any)
CytoGLMM_1.20.0.tar.gz(r-4.7-any)CytoGLMM_1.20.0.tar.gz(r-4.6-any)
CytoGLMM_1.20.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
CytoGLMM/json (API)
NEWS

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

Bug tracker:https://github.com/christofseiler/cytoglmm/issues

Pkgdown/docs site:https://christofseiler.github.io

On BioConductor:CytoGLMM-1.21.0(bioc 3.24)CytoGLMM-1.20.0(bioc 3.23)

flowcytometryproteomicssinglecellcellbasedassayscellbiologyimmunooncologyregressionstatisticalmethodsoftware

6.03 score 3 stars 1 packages 2 scripts 322 downloads 4 mentions 11 exports 170 dependencies

Last updated from:e2ce946d59 (on RELEASE_3_23). Checks:8 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksNOTE201
linux-devel-x86_64NOTE310
source / vignettesOK351
linux-release-x86_64NOTE277
macos-release-arm64NOTE130
macos-oldrel-arm64NOTE131
windows-develNOTE180
windows-releaseNOTE216
windows-oldrelNOTE183
wasm-releaseOK171

Exports:cytoflexmixcytoglmcytoglmmcytogroupcytostabgenerate_dataplot_heatmapplot_ldaplot_mdsplot_model_selectionplot_prcomp

Dependencies:abindbackportsbase64encBHbigmemorybigmemory.sriBiocParallelbootbroombslibcachemcarcarDatacaretclasscliclockclustercodetoolscolorspacecorrplotcowplotcpp11crosstalkdata.tabledendextendDerivdiagramdigestdoBydoParalleldplyrDTe1071ellipseemmeansestimabilityevaluatefactoextraFactoMineRfarverfastmapflashClustflexmixfontawesomeforeachforecastformatRFormulafracdifffsfutile.loggerfutile.optionsfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridExtragtablehardhathighrhtmltoolshtmlwidgetsipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglambda.rlaterlatticelavalazyevalleapslifecyclelistenvlme4lmtestlogginglubridatemagrittrMASSMatrixMatrixModelsmbestmemoisemgcvmicrobenchmarkmimeminqaModelMetricsmodelrmodeltoolsmultcompViewmvtnormnlmenloptrnnetnumDerivotelparallellypbkrtestpheatmappillarpkgconfigplyrpolynompROCprodlimprogressrpromisesproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackrecipesreformulasreshape2rlangrmarkdownrpartrstatixS7sandwichsassscalesscatterplot3dshapesnowSparseMsparsevctrsSQUAREMstringistringrstrucchangesurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdburcautf8uuidvctrsviridisviridisLitewithrxfunyamlzoo

CytoGLMM Workflow

Rendered fromCytoGLMM.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2025-07-18
Started: 2019-02-27