Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Lambert, B. et al. (2018) “The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments”, Malaria Journal, 17(1).

Behr, M., Holmes, C. and Munk, A. (2018) “Multiscale blind source separation”, The Annals of Statistics, 46(2), pp. 711–744.

Lambert, B. et al. (2018) “Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy”, Scientific Reports, 8(1), p. 5274.

Bycroft, C. et al. (2018) “Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula”, Nature Communications [Preprint].

Harrar, H., Myers, S. and Ghanem, A. (2018) “Art or Science? An Evidence-Based Approach to Human Facial Beauty a Quantitative Analysis Towards an Informed Clinical Aesthetic Practice”, Aesthetic Plastic Surgery, 42(1), pp. 137–146.

Lambert, B. et al. (2018) “Bayesian inference of agent-based models: a tool for studying kidney branching morphogenesis”, Journal of Mathematical Biology, 76(7), pp. 1673–1697.

Kafkafi, N. et al. (2018) “Reproducibility and replicability of rodent phenotyping in preclinical studies”, Neuroscience and biobehavioral reviews, 87, pp. 218–232.

Abdalla, M. et al. (2018) “A general framework for predicting the transcriptomic consequences of non-coding variation.”

Woodroffe, R. and Donnelly, C. (2018) “European badgers and the control of bovine tuberculosis in the United Kingdom”, in Biology and Conservation of Musteloids, pp. 410–419.

Rukat, T., Holmes, C. and Yau, C. (2018) “Probabilistic Boolean tensor decomposition”, in 35th International Conference on Machine Learning, ICML 2018, pp. 7007–7020.