NMR in Metabolomics: From Conventional Statistics to Machine Learning and Neural Network Approaches

NMR in Metabolomics: From Conventional Statistics to Machine Learning and Neural Network Approaches

NMR measurements combined with chemometrics allow achieving a great amount of information for the identification of potential biomarkers responsible for a precise metabolic pathway. These kinds of data are useful in different fields, ranging from food to biomedical fields, including health science....

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Bibliographic Details
Main Authors: Carmelo Corsaro, Sebastiano Vasi, Fortunato Neri, Angela Maria Mezzasalma, Giulia Neri, Enza Fazio
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Applied Sciences
Subjects:
NMR
metabolomics
biomarkers
clustering
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/2076-3417/12/6/2824

Internet

https://www.mdpi.com/2076-3417/12/6/2824

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