Classifying flow cytometry data using Bayesian analysis helps to distinguish ALS patients from healthy controls

Classifying flow cytometry data using Bayesian analysis helps to distinguish ALS patients from healthy controls

IntroductionGiven its wide availability and cost-effectiveness, multidimensional flow cytometry (mFC) became a core method in the field of immunology allowing for the analysis of a broad range of individual cells providing insights into cell subset composition, cellular behavior, and cell-to-cell in...

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Bibliographic Details
Main Authors: Saskia Räuber, Christopher Nelke, Christina B. Schroeter, Sumanta Barman, Marc Pawlitzki, Jens Ingwersen, Katja Akgün, Rene Günther, Alejandra P. Garza, Michaela Marggraf, Ildiko Rita Dunay, Stefanie Schreiber, Stefan Vielhaber, Tjalf Ziemssen, Nico Melzer, Tobias Ruck, Sven G. Meuth, Michael Herty
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Immunology
Subjects:
ALS
Bayesian analysis
flow cytometry
immune system
mathematical modeling
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1198860/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2023.1198860/full

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