Unsupervised machine learning reveals key immune cell subsets in COVID-19, rhinovirus infection, and cancer therapy

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For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitatively characterize cells associated with disease progression or clinical response. With repeated sampling, immune monitoring creates a real-time portrait of the cells reacting to a novel virus before di...

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Detalles Bibliográficos
Autores principales: Barone, Sierra M, Paul, Alberta GA, Muehling, Lyndsey M, Lannigan, Joanne A, Kwok, William W, Turner, Ronald B, Woodfolk, Judith A, Irish, Jonathan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Computational and Systems Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370768/
https://www.ncbi.nlm.nih.gov/pubmed/34350827
http://dx.doi.org/10.7554/eLife.64653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8370768/
https://www.ncbi.nlm.nih.gov/pubmed/34350827
http://dx.doi.org/10.7554/eLife.64653

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