RNA-Seq analysis for breast cancer detection: a study on paired tissue samples using hybrid optimization and deep learning techniques
Our findings demonstrate that the hybrid gene selection approach using HHO and WO, combined with deep learning, is a powerful and accurate tool for breast cancer detection. This approach shows promise for early detection and could facilitate personalized treatment strategies, ultimately improving patient outcomes.
Authors
- Rabia Musheer Aziz (ORCID: https://orcid.org/0000-0003-2655-7272)
- Abrar Yaqoob (ORCID: https://orcid.org/0009-0000-1426-0864)
- Navneet Kumar Verma (ORCID: https://orcid.org/0000-0003-4996-1198)
- Mohd Asif Shah (ORCID: https://orcid.org/0000-0002-0351-9559)
Institutions
- Lovely Professional University (IN)
- Kardan University (AF)
- Barkatullah University (IN)
- Chitkara University (IN)
Publication Details
- Journal
- Journal of Cancer Research and Clinical Oncology
- Published
- 2024-10-10
- DOI
- https://doi.org/10.1007/s00432-024-05968-z
- Citations
- 41
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 9.59