Model-based clustering for flow and mass cytometry data with clinical information

BACKGROUND: High-dimensional flow cytometry and mass cytometry allow systemic-level characterization of more than 10 protein profiles at single-cell resolution and provide a much broader landscape in many biological applications, such as disease diagnosis and prediction of clinical outcome. When ass...

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Detalles Bibliográficos
Autores principales: Abe, Ko, Minoura, Kodai, Maeda, Yuka, Nishikawa, Hiroyoshi, Shimamura, Teppei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495858/
https://www.ncbi.nlm.nih.gov/pubmed/32938365
http://dx.doi.org/10.1186/s12859-020-03671-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495858/
https://www.ncbi.nlm.nih.gov/pubmed/32938365
http://dx.doi.org/10.1186/s12859-020-03671-7

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