A deep learning approach based on multi-omics data integration to construct a risk stratification prediction model for skin cutaneous melanoma.

Journal: Journal of cancer research and clinical oncology
Published Date: Sep 7, 2023

Abstract

PURPOSE: Skin cutaneous melanoma (SKCM) is a highly aggressive melanocytic carcinoma whose high heterogeneity and complex etiology make its prognosis difficult to predict. This study aimed to construct a risk subtype typing model for SKCM.

Authors

  • Weijia Li
    Department of Epidemiology and Medical Statistics, Institute of Medical Systems Biology, Guangdong Medical University, Dongguan, Guangdong, China.
  • Qiao Huang
    Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children (Women and Children's Hospital of Chongqing Medical University), Chongqing 401147, China.
  • Yi Peng
    Department of Linguistics, School of International Studies, Zhejiang University, Hangzhou City, Zhejiang Province, China.
  • Suyue Pan
    Department of Epidemiology and Medical Statistics, Institute of Medical Systems Biology, Guangdong Medical University, Dongguan, Guangdong, China.
  • Min Hu
    Graduate School of Medical Sciences, Kyushu University, Fukuoka City, Fukuoka, Japan.
  • Pu Wang
    Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.
  • Yuqing He
    School of Transportation, Fujian University of Technology, Fuzhou 350118, China.

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