Chris Holmes

MIDFA: Scalable Bayesian Factor Analysis for Mixed and Incomplete Data

The paper introduces a scalable Bayesian factor analysis framework for handling mixed and incomplete data, demonstrating its effectiveness on MS datasets.

Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk

This paper introduces an age-dependent topic modelling method to identify disease subtypes with differential genetic risk using UK Biobank and All of Us data.

GWAS identifies 10 loci for objectively-measured physical activity and sleep with causal roles in cardiometabolic disease.

This paper conducts a GWAS on objectively-measured physical activity and sleep traits, identifying 10 loci with potential causal roles in cardiometabolic disease.

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants

The paper develops a machine learning model to classify physical activity and sleep behaviors from sensor data in UK Biobank participants, achieving 87% accuracy.