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

Summary: 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...

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Auteurs principaux: Jie Ju, Leonoor V. Wismans, Dana A.M. Mustafa, Marcel J.T. Reinders, Casper H.J. van Eijck, Andrew P. Stubbs, Yunlei Li
Format: article
Langue:EN
Publié: Elsevier 2021
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Accès en ligne:https://doaj.org/article/bac116467aa74791ac6eb847e3be8b38
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