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Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer
Genomics and transcriptomics have led to the widely-used molecular classification of breast cancer (BC). However, heterogeneous biological behaviors persist within breast cancer subtypes. Metabolomics is a rapidly-expanding field of study dedicated to cellular metabolisms affected by the environment...
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| Publicado no: | Comput Struct Biotechnol J |
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| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Research Network of Computational and Structural Biotechnology
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7327012/ https://ncbi.nlm.nih.gov/pubmed/32637048 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csbj.2020.05.021 |
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