Unsupervised Analysis of Flow Cytometry Data in a Clinical Setting Captures Cell Diversity and Allows Population Discovery

Data obtained with cytometry are increasingly complex and their interrogation impacts the type and quality of knowledge gained. Conventional supervised analyses are limited to pre-defined cell populations and do not exploit the full potential of data. Here, in the context of a clinical trial of canc...

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Detalles Bibliográficos
Autores principales: Baumgaertner, Petra, Sankar, Martial, Herrera, Fernanda, Benedetti, Fabrizio, Barras, David, Thierry, Anne-Christine, Dangaj, Denarda, Kandalaft, Lana E., Coukos, George, Xenarios, Ioannis, Guex, Nicolas, Harari, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119773/
https://www.ncbi.nlm.nih.gov/pubmed/33995353
http://dx.doi.org/10.3389/fimmu.2021.633910

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8119773/
https://www.ncbi.nlm.nih.gov/pubmed/33995353
http://dx.doi.org/10.3389/fimmu.2021.633910

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