A cell-level discriminative neural network model for diagnosis of blood cancers

MOTIVATION: Precise identification of cancer cells in patient samples is essential for accurate diagnosis and clinical monitoring but has been a significant challenge in machine learning approaches for cancer precision medicine. In most scenarios, training data are only available with disease annota...

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Detalles Bibliográficos
Autores principales: Robles, Edgar E, Jin, Ye, Smyth, Padhraic, Scheuermann, Richard H, Bui, Jack D, Wang, Huan-You, Oak, Jean, Qian, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563151/
https://www.ncbi.nlm.nih.gov/pubmed/37756695
http://dx.doi.org/10.1093/bioinformatics/btad585

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563151/
https://www.ncbi.nlm.nih.gov/pubmed/37756695
http://dx.doi.org/10.1093/bioinformatics/btad585

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