Robust prediction of clinical outcomes using cytometry data

MOTIVATION: Flow cytometry and mass cytometry are widely used to diagnose diseases and to predict clinical outcomes. When associating clinical features with cytometry data, traditional analysis methods require cell gating as an intermediate step, leading to information loss and susceptibility to bat...

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Detalles Bibliográficos
Autores principales: Hu, Zicheng, Glicksberg, Benjamin S, Butte, Atul J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449751/
https://www.ncbi.nlm.nih.gov/pubmed/30169745
http://dx.doi.org/10.1093/bioinformatics/bty768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449751/
https://www.ncbi.nlm.nih.gov/pubmed/30169745
http://dx.doi.org/10.1093/bioinformatics/bty768

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