Multi-scale cancer driver gene prediction by flexible data selection and network topology guidance
We conclude that GenMorw, with its novel gene-patient score mechanism, offers a significant advance in cancer driver gene discovery by capturing both population-wide and patient-specific network signals, thereby improving predictive power and enabling deeper insights into cancer heterogeneity.
Authors
- Jia Mi (ORCID: https://orcid.org/0000-0002-4435-579X)
- Guodong Xiao (ORCID: https://orcid.org/0000-0002-8739-5513)
- Haiyan Cong
- Yusen Zhang (ORCID: https://orcid.org/0000-0003-3842-1153)
- Chuanqi Sun (ORCID: https://orcid.org/0000-0002-6443-6407)
- Rui Gao (ORCID: https://orcid.org/0000-0002-8476-0925)
- Jiaxin Chen (ORCID: https://orcid.org/0000-0003-4459-5408)
- Jian Liu (ORCID: https://orcid.org/0000-0001-9669-5502)
- Mingyi Wang (ORCID: https://orcid.org/0000-0002-0784-296X)
- Ying Ren (ORCID: https://orcid.org/0000-0002-9815-6630)
- Fubin Ma
- Ponian Li
Institutions
- Shandong University of Aeronautics (CN)
- Shandong University (CN)
- Weihai Municipal Hospital (CN)
Publication Details
- Journal
- Journal of Biomedical Informatics
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1016/j.jbi.2025.104961
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00