Chris Holmes
Professors of Biostatistics in Genomics
I have a broad interest in the theory, methods and applications of statistics and statistical modelling. My background and beliefs lie in Bayesian statistics which provides a unified framework to stochastic modelling and information processing. I am particularly interested in pattern recognition and nonlinear, nonparametric methods.
Recent publications
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Methodological opportunities in genomic data analysis to advance health equity.
Journal article
Lehmann B. et al, (2025), Nat Rev Genet
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Assessments and developments in constructing a National Health Index for policy-making, in the UK
Journal article
Freni-Sterrantino A. et al, (2025), Journal of the Royal Statistical Society. Series A: Statistics in Society, 188, 491 - 514
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Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis
Journal article
Schoenpflug LA. et al, (2025), The Journal of Pathology, 265, 184 - 197
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Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
Journal article
Liley J. et al, (2024), NPJ digital medicine, 7
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Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland.
Journal article
Liley J. et al, (2024), NPJ digital medicine, 7