A densely connected framework for cancer subtype classification.

Journal: BMC bioinformatics
Published Date: Jul 18, 2025

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 understanding of biological characteristics and disease mechanisms can be achieved.

Authors

  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Denggao Zheng
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Kaijie Sun
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Chi Qin
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Yuchen Duan
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Qingqing Zhou
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Yunxia Yin
    School of Medical Information Engineering, Anhui University of Chinese Medicine, Hefei, China.
  • Hongxing Kan
    School of Medical Information Engineering, Anhui University of Traditional Chinese Medicine, Hefei, Anhui, China.
  • Jili Hu
    School of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, Anhui 230012, China.

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