PhenoGMM: Gaussian Mixture Modeling of Cytometry Data Quantifies Changes in Microbial Community Structure

Microbial flow cytometry can rapidly characterize the status of microbial communities. Upon measurement, large amounts of quantitative single-cell data are generated, which need to be analyzed appropriately. Cytometric fingerprinting approaches are often used for this purpose. Traditional approaches...

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Detalles Bibliográficos
Autores principales: Rubbens, Peter, Props, Ruben, Kerckhof, Frederiek-Maarten, Boon, Nico, Waegeman, Willem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860985/
https://www.ncbi.nlm.nih.gov/pubmed/33536320
http://dx.doi.org/10.1128/mSphere.00530-20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7860985/
https://www.ncbi.nlm.nih.gov/pubmed/33536320
http://dx.doi.org/10.1128/mSphere.00530-20

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