This is the released version of CytoGLMM; for the devel version, see CytoGLMM.
Conditional Differential Analysis for Flow and Mass Cytometry ExperimentsBioconductor version: Release (3.21)
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.
Author: Christof Seiler [aut, cre] ORCID: 0000-0001-8802-3642
Maintainer: Christof Seiler <christof.seiler at maastrichtuniversity.nl>
Citation (from within R, entercitation("CytoGLMM")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("CytoGLMM")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CytoGLMM")Follow Installation instructions to use this package in your R session.
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