DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data

Single-cell mass cytometry, also known as cytometry by time of flight (CyTOF) is a powerful high-throughput technology that allows analysis of up to 50 protein markers per cell for the quantification and classification of single cells. Traditional manual gating utilized to identify new cell populati...

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Detalles Bibliográficos
Autores principales: Cheng, Lijun, Karkhanis, Pratik, Gokbag, Birkan, Liu, Yueze, Li, Lang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060369/
https://www.ncbi.nlm.nih.gov/pubmed/35404970
http://dx.doi.org/10.1371/journal.pcbi.1008885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9060369/
https://www.ncbi.nlm.nih.gov/pubmed/35404970
http://dx.doi.org/10.1371/journal.pcbi.1008885

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