Predicting human health from biofluid-based metabolomics using machine learning

Biofluid-based metabolomics has the potential to provide highly accurate, minimally invasive diagnostics. Metabolomics studies using mass spectrometry typically reduce the high-dimensional data to only a small number of statistically significant features, that are often chemically identified—where e...

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Detalles Bibliográficos
Autores principales: Evans, Ethan D., Duvallet, Claire, Chu, Nathaniel D., Oberst, Michael K., Murphy, Michael A., Rockafellow, Isaac, Sontag, David, Alm, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572502/
https://www.ncbi.nlm.nih.gov/pubmed/33077825
http://dx.doi.org/10.1038/s41598-020-74823-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7572502/
https://www.ncbi.nlm.nih.gov/pubmed/33077825
http://dx.doi.org/10.1038/s41598-020-74823-1

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