Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Colorectal cancer subtype identification from differential gene expression levels using minimalist deep learning

Abstract Background Cancer molecular subtyping plays a critical role in individualized patient treatment. In previous studies, high-throughput gene expression signature-based methods have been proposed to identify cancer subtypes. Unfortunately, the existing ones suffer from the curse of dimensional...

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Bibliographic Details
Main Authors: Shaochuan Li, Yuning Yang, Xin Wang, Jun Li, Jun Yu, Xiangtao Li, Ka-Chun Wong
Format: Article
Language:English
Published: BMC 2022-04-01
Series:BioData Mining
Subjects:
DeepCSD
Cancer subtype identification
Differential gene expression
Online Access:https://doi.org/10.1186/s13040-022-00295-w

Internet

https://doi.org/10.1186/s13040-022-00295-w

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