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.
Package details 


Bioconductor views  CellBasedAssays CellBiology FlowCytometry ImmunoOncology Proteomics Regression SingleCell Software StatisticalMethod 
Maintainer  
License  LGPL3 
Version  1.7.1 
URL  https://christofseiler.github.io/CytoGLMM https://github.com/ChristofSeiler/CytoGLMM 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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