Survival analysis of patient groups defined by unsupervised machine learning clustering methods based on patient metabolomic data.

PURPOSE: Meta-analyses failed to accurately identify patients with non-metastatic breast cancer who are likely to benefit from chemotherapy, and metabolomics could provide new answers. In our previous published work, patients were clustered using five different unsupervised machine learning (ML) met...

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Detalles Bibliográficos
Autores principales: Bailleux, Caroline, Chardin, David, Guigonis, Jean-Marie, Ferrero, Jean-Marc, Chateau, Yann, Humbert, Olivier, Pourcher, Thierry, Gal, Jocelyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618114/
https://www.ncbi.nlm.nih.gov/pubmed/37920813
http://dx.doi.org/10.1016/j.csbj.2023.10.033

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618114/
https://www.ncbi.nlm.nih.gov/pubmed/37920813
http://dx.doi.org/10.1016/j.csbj.2023.10.033

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