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
Publicado en:Front Immunol
Main Authors: 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: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2021
Assuntos:
Immunology
Acceso en liña: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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