Machine learning on transcription factor expression profiles for precision breast cancer therapy
These insights will open the door to delivering cutting-edge MDTS strategies to customizing breast cancer therapies.
Authors
- Zhaogen Cai
- Simin Min
- Z. X. Meng
- Di Yang (ORCID: https://orcid.org/0000-0003-1145-2371)
- Ning Zhang (ORCID: https://orcid.org/0000-0002-6430-4236)
- Xiaonan Zhang (ORCID: https://orcid.org/0000-0002-2229-7242)
- Xiaoyu Shi
- Ni Ni (ORCID: https://orcid.org/0000-0003-2692-3244)
- Tao Wang (ORCID: https://orcid.org/0009-0005-5712-1799)
- Yunxia Zhao
Institutions
- Bengbu Medical College (CN)
- Anhui Medical University (CN)
- Ningxia Medical University (CN)
- Ningxia Medical University General Hospital (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Cancer Cell International
- Published
- 2025-10-09
- DOI
- https://doi.org/10.1186/s12935-025-03987-5
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00