Yingxiao Yan

Doctoral Student at Food and Nutrition Science

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).

Source: chalmers.se
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Showing 3 publications

2024

Adjusting for covariates and assessing modeling fitness in machine learning using MUVR2

Yingxiao Yan, Tessa Schillemans, Viktor Skantze et al
Bioinformatics Advances. Vol. 4 (1)
Journal article
2024

OMICs Signatures Linking Persistent Organic Pollutants to Cardiovascular Disease in the Swedish Mammography Cohort

Tessa Schillemans, Yingxiao Yan, Anton Ribbenstedt et al
Environmental Science & Technology. Vol. 58 (2), p. 1036-1047
Journal article
2022

The association between plasma metabolites and future risk of all-cause mortality

Yingxiao Yan, Einar Smith, O. Melander et al
Journal of Internal Medicine. Vol. 292 (5), p. 804-815
Journal article

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