Statistical and Machine-Learning Analyses in Nutritional Genomics Studies

Statistical and Machine-Learning Analyses in Nutritional Genomics Studies

Nutritional compounds may have an influence on different OMICs levels, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and metagenomics. The integration of OMICs data is challenging but may provide new knowledge to explain the mechanisms involved in the metabolism of nutr...

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Bibliographic Details
Main Authors: Leila Khorraminezhad, Mickael Leclercq, Arnaud Droit, Jean-François Bilodeau, Iwona Rudkowska
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Nutrients
Subjects:
genomics
multi-OMICS
machine learning
data integration
nutrition
Online Access:https://www.mdpi.com/2072-6643/12/10/3140

Internet

https://www.mdpi.com/2072-6643/12/10/3140

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