The Mitochondrial Signature for Predicting Outcome of Early-Stage Breast Cancer by Machine Learning
In this study, we suggested a novel mitochondrial signature model by comprehensively analysing mitochondrial-related genes, which have the potential to accurately predict the clinical prognosis at the early stages of breast cancer.
Authors
- Ashfaque A. Memon (ORCID: https://orcid.org/0000-0002-1081-3553)
- Jan Sundquist (ORCID: https://orcid.org/0000-0001-7228-5015)
- Kristina Sundquist (ORCID: https://orcid.org/0000-0001-8031-279X)
- Xiao Wang (ORCID: https://orcid.org/0000-0003-3285-226X)
- Yanni Li (ORCID: https://orcid.org/0000-0003-4550-8935)
Institutions
- Lund University (SE)
- Skåne University Hospital (SE)
Publication Details
- Journal
- Clinical Breast Cancer
- Published
- 2025-05-03
- DOI
- https://doi.org/10.1016/j.clbc.2025.04.020
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72