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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Detalles Bibliográficos
Autores principales: Gal, Jocelyn, Bailleux, Caroline, Chardin, David, Pourcher, Thierry, Gilhodes, Julia, Jing, Lun, Guigonis, Jean-Marie, Ferrero, Jean-Marc, Milano, Gerard, Mograbi, Baharia, Brest, Patrick, Chateau, Yann, Humbert, Olivier, Chamorey, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327012/
https://www.ncbi.nlm.nih.gov/pubmed/32637048
http://dx.doi.org/10.1016/j.csbj.2020.05.021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327012/
https://www.ncbi.nlm.nih.gov/pubmed/32637048
http://dx.doi.org/10.1016/j.csbj.2020.05.021

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