Machine Learning-Guided Differential Gene Expression Analysis Identifies A Highly-Connected Seven-Gene Cluster in Triple-Negative Breast Cancer
ML-based gene selection shows a great impact on the identification of hub genes. The ML models built can improve precision oncology in diagnosis and prognosis. The identified hub genes can serve as biomarkers and warrant further research for potential drug target development.
Authors
- Waleed M. Ead (ORCID: https://orcid.org/0000-0003-2969-2269)
- El-Sayed A El-Absawy
- Heba Ghazal (ORCID: https://orcid.org/0000-0002-1176-2241)
- Mohamed E. Hasan (ORCID: https://orcid.org/0000-0002-6325-3393)
Institutions
- Beni-Suef University (EG)
- University of Sadat City (EG)
Publication Details
- Journal
- Biomedicine
- Published
- 2024-12-01
- DOI
- https://doi.org/10.37796/2211-8039.1467
- Citations
- 6
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 1.40