Transcriptomic analysis reveals novel targets in benign schwannoma using machine learning.

Journal: Neuroscience
Published Date: Jun 21, 2025

Abstract

BACKGROUND & OBJECTIVE: This study aimed to identify key immune-related biomarkers of benign schwannoma through machine learning-assisted transcriptomic and single-cell analyses, and to construct a predictive model for disease evaluation.

Authors

  • Suwei Yan
    Department of Neurosurgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China.
  • Jingnan Zhao
    Department of Neurosurgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China.
  • Pengyang Gao
    Department of Neurosurgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China.
  • Zhaoxu Li
    Department of Neurosurgery, Third Hospital of Hebei Medical University, Shijiazhuang 050051, China.
  • Zhao Li
    Research Center for Data Hub and Security, Zhejiang Lab, Hangzhou, China. lzjoey@gmail.com.
  • Pengfei Wang
    Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China.

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