Biomarker discovery and development of prognostic prediction model using metabolomic panel in breast cancer patients: a hybrid methodology integrating machine learning and explainable artificial intelligence
In conclusion, this study adds valuable information to the discovery of BC biomarkers and underscores the potential of targeted metabolomics-based diagnostic advances in the management of BC.
Authors
- Fatma Hilal Yağın (ORCID: https://orcid.org/0000-0002-9848-7958)
- Fahaid Al‐Hashem (ORCID: https://orcid.org/0000-0001-5795-9966)
- Fuzail Ahmad (ORCID: https://orcid.org/0000-0002-1189-2206)
- Luca Paolo Ardigò (ORCID: https://orcid.org/0000-0001-7677-5070)
- Yasin Görmez (ORCID: https://orcid.org/0000-0001-8276-2030)
- Irshad Ahmad (ORCID: https://orcid.org/0000-0003-0077-3065)
Institutions
- Sivas Cumhuriyet Üniversitesi (TR)
- Alfaisal University (SA)
- Inonu University (TR)
- NLA University College (NO)
- King Khalid University (SA)
Publication Details
- Journal
- Frontiers in Molecular Biosciences
- Published
- 2024-12-18
- DOI
- https://doi.org/10.3389/fmolb.2024.1426964
- Citations
- 5
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.17