Article

A Generalized Supervised Contrastive Learning Framework for Integrative Multi-omics Prediction Models

2023-11-04

Abstract excerpt

Recent technological advances have highlighted the significant impact of the human microbiome and metabolites on physiological conditions. Integrating microbiome and metabolite data has shown promise in predictive capabilities. We developed a new supervised contrastive learning framework, MB-SupCon-cont, that (1) proposes a general contrastive learning framework for continuous outcomes and (2) improves prediction...

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Literature Corpus work: 796cbbed-687d-5269-af86-d7c452cd1e28
DOI: 10.1101/2023.11.01.565241

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