Article

Machine Learning in Multi-Omics Data to Assess Longitudinal Predictors of Glycaemic Health

2018-06-29

Abstract excerpt

Type 2 diabetes (T2D) is a global health burden that will benefit from personalised risk prediction and targeted prevention programmes. Omics data have enabled more detailed risk prediction; however, most studies have focussed on directly on the ability of DNA variants predicting T2D onset with less attention given to epigenetic regulation and glycaemic trait variability. By applying machine learning to the longit...

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Literature Corpus work: 84d6c298-d4cf-5642-be1e-d5892972a3c0
DOI: 10.1101/358390

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