A generative deep neural network for pan-digestive tract cancer survival analysis

A generative deep neural network for pan-digestive tract cancer survival analysis

Abstract Background The accurate identification of molecular subtypes in digestive tract cancer (DTC) is crucial for making informed treatment decisions and selecting potential biomarkers. With the rapid advancement of artificial intelligence, various machine learning algorithms have been successful...

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Bibliographic Details
Main Authors: Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BioData Mining
Subjects:
Cancer subtype
Tumor heterogeneity
Survival analysis
Pan-digestive tract cancer analysis
Online Access:https://doi.org/10.1186/s13040-025-00426-z
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