Predicting human health from biofluid-based metabolomics using machine learning

Predicting human health from biofluid-based metabolomics using machine learning

© 2020, The Author(s). 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 chemic...

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Bibliographic Details
Main Authors: Evans, Ethan D, Duvallet, Claire, Chu, Nathaniel D, Oberst, Michael K, Murphy, Michael A, Rockafellow, Isaac, Sontag, David, Alm, Eric J
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering
Format: Article
Language:English
Published: Springer Science and Business Media LLC 2021
Online Access:https://hdl.handle.net/1721.1/133758

Internet

https://hdl.handle.net/1721.1/133758

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