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

INTRODUCTION: Given 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...

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Detalles Bibliográficos
Autores principales: Räuber, Saskia, Nelke, Christopher, Schroeter, Christina B., Barman, Sumanta, Pawlitzki, Marc, Ingwersen, Jens, Akgün, Katja, Günther, Rene, Garza, Alejandra P., Marggraf, Michaela, Dunay, Ildiko Rita, Schreiber, Stefanie, Vielhaber, Stefan, Ziemssen, Tjalf, Melzer, Nico, Ruck, Tobias, Meuth, Sven G., Herty, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434536/
https://www.ncbi.nlm.nih.gov/pubmed/37600819
http://dx.doi.org/10.3389/fimmu.2023.1198860

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10434536/
https://www.ncbi.nlm.nih.gov/pubmed/37600819
http://dx.doi.org/10.3389/fimmu.2023.1198860

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