Research ArticleOriginal Article
Open Access

From chemical compounds to herbal interventions: a transfer learning-based perturbational transcriptome prediction framework for cancer drug discovery

Qingyuan Liu, Boyang Wang and Shao Li
Cancer Biology & Medicine July 2026, 20260032; DOI: https://doi.org/10.20892/j.issn.2095-3941.2026.0032

Article Information

20260032
DOI 
https://doi.org/10.20892/j.issn.2095-3941.2026.0032
Published By 
Cancer Biology & Medicine
History 
  • Received January 22, 2026
  • Accepted April 22, 2026
  • Published online July 22, 2026.
Copyright & Usage 
Copyright: © 2026, The Authors This work is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.

Author Information

  1. Qingyuan Liu,
  2. Boyang Wang and
  3. Shao Li⇑
  1. Institute for TCM-X, Department of Automation, Tsinghua University, Beijing 100084, China
  1. Correspondence to: Shao Li, E-mail: shaoli{at}mail.tsinghua.edu.cn
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Funding

  • Innovation Team and Talent Support Program Project of Traditional Chinese Medicine, National Administration of Traditional Chinese Medicine

    ZYYCXTD-D-202405, China

  • Pilot Project for Disciplinary Breakthroughs of Ministry of Education (Prevention and Treatment of Multi-System Comorbid Diseases with Traditional Chinese Medicine)

  • Anhui Province Traditional Chinese Medicine Science and Technology Research Project

    202303a07020001, China

This work was supported by the Innovation Team and Talent Support Program Project of Traditional Chinese Medicine, National Administration of Traditional Chinese Medicine (ZYYCXTD-D-202405, China), the Pilot Project for Disciplinary Breakthroughs of Ministry of Education (Prevention and Treatment of Multi-System Comorbid Diseases with Traditional Chinese Medicine), and the Anhui Province Traditional Chinese Medicine Science and Technology Research Project (202303a07020001, China).

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