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The multi-sample Gaussian mixture model (MSGMM) is a clustering model adapted to fitting multiple samples simultaneously using the EM algorithm.

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MSGMM

What is MSGMM?

MSGMM allows for efficiently fitting a Gaussian mixture models (GMM) to multiple samples simultaniously using the EM algorithm.

Installation

MSGMM is installable in R from Github and can be installed via devtools:

devtools::install_github("AUMC-HEMA/MSGMM")

Note that MSGMM also requires installing RTools.

Citation

The method implemented in MSGMM is detailed in: Computationally efficient multi-sample flow cytometry data analysis using Gaussian mixture models

Philip Rutten, Tim Robert Mocking, Jacqueline Cloos, Wessel van Wieringen, Costa Bachas

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The multi-sample Gaussian mixture model (MSGMM) is a clustering model adapted to fitting multiple samples simultaneously using the EM algorithm.

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