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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Détails bibliographiques
Publié dans:Front Immunol
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2021
Sujets:
Immunology
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC8119773/
https://ncbi.nlm.nih.gov/pubmed/33995353
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fimmu.2021.633910
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