Integration of machine learning in biomarker discovery for esophageal squamous cell carcinoma: Applications and future directions.

Journal: Pathology, research and practice
Published Date:

Abstract

PURPOSE: Recent advancements in sequencing technologies and bioinformatics algorithms have facilitated significant breakthroughs in both fundamental and clinical tumor research. Nevertheless, the processing and utilization of large-scale data continue to pose substantial challenges. Machine learning (ML)-based integrative analysis methods present a novel approach for navigating these complex datasets, thereby enhancing the understanding of tumors from multiple perspectives.

Authors

  • Wanli Yang
    Shenzhen Engineering Laboratory for Eco-efficient Recycled Materials, School of Environment and Energy, Peking University, Shenzhen Graduate School, University Town, Xili, Nanshan District, Shenzhen 518055, China.
  • Lili Duan
    Department of Digestive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China; State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi' an, China.
  • Xinhui Zhao
    Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China.
  • Liaoran Niu
    Department of Digestive Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China; State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi' an, China.
  • Chenyang Wang
    Burning Rock Biotech, Guangzhou, China.
  • Daiming Fan
    State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi' an, China.
  • Liu Hong
    Graduate School of Science, Osaka University, 1-1 Machikaneyama, Toyonaka, Osaka, 560-0043, Japan.