Yingxiao Yan
PhD student in computational metabolomics Project: Impact of combined Exposures on Metabolic Health (ICE). Combing machine learning and epidemiological modelling, the aim of this project is to evaluate how combined environmental exposures (diet, microbiota and pollutants) regulate metabolic pathways and how that regulation in turn relates to non-communicable diseases and their risk factors (BMI, blood lipids, glucose, blood pressure, etc).
Showing 3 publications
Adjusting for covariates and assessing modeling fitness in machine learning using MUVR2
The association between plasma metabolites and future risk of all-cause mortality
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