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.

Wang, Z. et al. (2017) “Transcriptome Deconvolution of Heterogeneous Tumor Samples with Immune Infiltration”, p. 146795.

Bardenet, R., Doucet, A. and Holmes, C. (2017) “On Markov chain Monte Carlo Methods for Tall Data”, Journal of Machine Learning Research, 18(47), pp. 1–43.

Ansari, M. et al. (2017) “Genome-to-genome analysis highlights the effect of the human innate and adaptive immune systems on the hepatitis C virus”, Nature Genetics, 49(5), pp. 653–814.

Esperança, P., Aslett, L. and Holmes, C. (2017) “Encrypted accelerated least squares regression”, AISTATS 2017: The 20th International Conference on Artificial Intelligence and Statistics. Edited by A. Singh and J. Zhu, 54, pp. 334–343.

Holmes, C. and Walker, S. (2017) “Assigning a value to a power likelihood in a general Bayesian model”, Biometrika, 104(2), pp. 497–503.

Benslimane, F. et al. (2017) “The Benslimane’s Artistic Model for Females’ Gaze Beauty: An Original Assessment Tool”, Aesthetic Plastic Surgery, 41(1), pp. 81–89.

Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Laboratory Investigation. Nature Publishing Group, p. 68A.

Roxanis, I. et al. (2017) “Digital analysis of tumour microarchitecture as an independent prognostic tool in breast cancer”, in Modern Pathology. Nature Publishing Group, p. 68A.

Watson, J. and Holmes, C. (2017) “Rejoinder: Approximate Models and Robust Decisions”, Statistical Science, 31(4), pp. 516–520.

Watson, J. and Holmes, C. (2017) “Approximate models and robust decisions”, Statistical Science, 31(4), pp. 465–489.