Cancer Metastasis Prediction and Genomic Biomarker Identification through Machine Learning and eXplainable Artificial Intelligence in Breast Cancer Research

Aim: Method: This research presents a model combining machine learning (ML) techniques and eXplainable artificial intelligence (XAI) to predict breast cancer (BC) metastasis and reveal important genomic biomarkers in metastasis patients. Method: A total of 98 primary BC samples was analyzed, compris...

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Detalles Bibliográficos
Autores principales: Yagin, Burak, Yagin, Fatma Hilal, Colak, Cemil, Inceoglu, Feyza, Kadry, Seifedine, Kim, Jungeun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650093/
https://www.ncbi.nlm.nih.gov/pubmed/37958210
http://dx.doi.org/10.3390/diagnostics13213314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650093/
https://www.ncbi.nlm.nih.gov/pubmed/37958210
http://dx.doi.org/10.3390/diagnostics13213314

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