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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2023
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| Materias: | |
| 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 |