Machine Learning of Discriminative Gate Locations for Clinical Diagnosis

High‐throughput single‐cell cytometry technologies have significantly improved our understanding of cellular phenotypes to support translational research and the clinical diagnosis of hematological and immunological diseases. However, subjective and ad hoc manual gating analysis does not adequately...

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Detalles Bibliográficos
Autores principales: Ji, Disi, Putzel, Preston, Qian, Yu, Chang, Ivan, Mandava, Aishwarya, Scheuermann, Richard H., Bui, Jack D., Wang, Huan‐You, Smyth, Padhraic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Computational Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079150/
https://www.ncbi.nlm.nih.gov/pubmed/31691488
http://dx.doi.org/10.1002/cyto.a.23906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7079150/
https://www.ncbi.nlm.nih.gov/pubmed/31691488
http://dx.doi.org/10.1002/cyto.a.23906

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