Development of CSOARG: a single-cell and multi-omics-based machine learning model for ovarian cancer prognosis and drug response prediction
These findings demonstrate that a novel CSOARG model can effectively predict the prognosis and therapeutical responses of patients with ovarian cancer, which may assist clinicians in implementing better practices.
Authors
- Guoxiong Xu (ORCID: https://orcid.org/0000-0002-9074-8754)
- Bin Guan (ORCID: https://orcid.org/0000-0001-6972-999X)
- Jihong Zhang (ORCID: https://orcid.org/0000-0003-2820-3734)
- Xin Li (ORCID: https://orcid.org/0000-0003-0958-1078)
- Lu Qi (ORCID: https://orcid.org/0000-0002-8041-7791)
- Junyu Chen (ORCID: https://orcid.org/0000-0002-3462-7560)
- Wencai Guan (ORCID: https://orcid.org/0000-0001-8168-0711)
- Jingyi Fang
Institutions
- Shanghai Medical College of Fudan University (CN)
- Jinshan Hospital of Fudan University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.3389/fonc.2025.1592426
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36