Robust deep learning model for prognostic stratification of pancreatic ductal adenocarcinoma patients

A major challenge for treating patients with pancreatic ductal adenocarcinoma (PDAC) is the unpredictability of their prognoses due to high heterogeneity. We present Multi-Omics DEep Learning for Prognosis-correlated subtyping (MODEL-P) to identify PDAC subtypes and to predict prognoses of new patie...

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Detalles Bibliográficos
Autores principales: Ju, Jie, Wismans, Leonoor V., Mustafa, Dana A.M., Reinders, Marcel J.T., van Eijck, Casper H.J., Stubbs, Andrew P., Li, Yunlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637475/
https://www.ncbi.nlm.nih.gov/pubmed/34901786
http://dx.doi.org/10.1016/j.isci.2021.103415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8637475/
https://www.ncbi.nlm.nih.gov/pubmed/34901786
http://dx.doi.org/10.1016/j.isci.2021.103415

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