Integrating population-level and cell-based signatures for drug repositioning
Source code and datasets considered in this study are available at Github (https://github.com/zdangm/TReD). An archived snapshot is deposited at Zenodo (https://doi.org/10.5281/zenodo.16791909).
Authors
- Ravi V. Shah (ORCID: https://orcid.org/0000-0002-4471-7156)
- Yuan Zhou (ORCID: https://orcid.org/0000-0003-1962-2574)
- Chunxiao Cheng (ORCID: https://orcid.org/0000-0002-4696-0520)
- Eric R. Gamazon (ORCID: https://orcid.org/0000-0003-4204-8734)
- Ran Meng (ORCID: https://orcid.org/0000-0003-1190-4710)
- Dan Zhou (ORCID: https://orcid.org/0000-0002-5313-8164)
- Yue Xu (ORCID: https://orcid.org/0009-0005-0210-5708)
- Chunfeng He
- Rongbin Pan (ORCID: https://orcid.org/0000-0001-5295-6029)
- Jiayao Fan
- Lang Wu
Institutions
- University of Hawaiʻi at Mānoa (US)
- Ministry of Education (RW)
- Cancer Center of Hawaii (US)
- Zhejiang Lab (CN)
- Guangzhou Psychiatric Hospital (CN)
- TCM-Intigrated Cancer Center of Southern Medical University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- University Psychiatric Hospital (SI)
- Southern Medical University (CN)
- Zhejiang University (CN)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Bioinformatics
- Published
- 2025-09-09
- DOI
- https://doi.org/10.1093/bioinformatics/btaf498
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute on Aging
- National Human Genome Research Institute
- National Institute of General Medical Sciences