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...
Guardado en:
Autores principales: | Jie Ju, Leonoor V. Wismans, Dana A.M. Mustafa, Marcel J.T. Reinders, Casper H.J. van Eijck, Andrew P. Stubbs, Yunlei Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/bac116467aa74791ac6eb847e3be8b38 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Systematic discovery of signaling pathways linking immune activation to schizophrenia
por: Yue Gao, et al.
Publicado: (2021) -
Advances in Pancreatic Ductal Adenocarcinoma Treatment
por: Eric M. Anderson, et al.
Publicado: (2021) -
Therapeutic Targeting of Autophagy in Pancreatic Ductal Adenocarcinoma
por: Alexander G. Raufi, et al.
Publicado: (2021) -
The Potential of Induced Pluripotent Stem Cells to Advance the Treatment of Pancreatic Ductal Adenocarcinoma
por: Ricki T. Krog, et al.
Publicado: (2021) -
Prognostic value of immune factors in the tumor microenvironment of patients with pancreatic ductal adenocarcinoma
por: Sachie Kiryu, et al.
Publicado: (2021)