A densely connected framework for cancer subtype classification

A densely connected framework for cancer subtype classification

Abstract Background Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. By combining molecular information across various layers, a more comprehensive un...

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Bibliographic Details
Main Authors: Yu Li, Denggao Zheng, Kaijie Sun, Chi Qin, Yuchen Duan, Qingqing Zhou, Yunxia Yin, Hongxing Kan, Jili Hu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Subjects:
Cancer subtypes
Multi-omics
Kidney cancer
Variational autoencoder
DenseNet
Online Access:https://doi.org/10.1186/s12859-025-06230-0
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https://doi.org/10.1186/s12859-025-06230-0

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