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 G.A., 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: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402038/
https://www.ncbi.nlm.nih.gov/pubmed/32766581
http://dx.doi.org/10.1101/2020.07.31.190454

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7402038/
https://www.ncbi.nlm.nih.gov/pubmed/32766581
http://dx.doi.org/10.1101/2020.07.31.190454

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