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Article

Discriminating Dietary Responses by Combining Transcriptomics and Metabolomics Data in Nutrition Intervention Studies

16 Dec 2020

Abstract excerpt

SCOPE: Combining different "omics" data types in a single, integrated analysis may better characterize the effects of diet on human health. METHODS AND RESULTS: The performance of two data integration tools, similarity network fusion tool (SNFtool) and Data Integration Analysis for Biomarker discovery using Latent variable approaches for "Omics" (DIABLO; MixOmics), in discriminating responses to diet and...

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Share to Metabolomics and Mass Spectrometry Studies
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PMID: 33325641
DOI: 10.1002/mnfr.202000647

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