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Publications

Schwessinger, R. et al. (2020) “DeepC: Predicting 3D genome folding using megabase-scale transfer learning”, Nature Methods, 17(11), pp. 1118–1124.
Watson, J. et al. (2020) “A cautionary note on the use of unsupervised machine learning algorithms to characterise malaria parasite population structure from genetic distance matrices”, PLoS Genetics, 16(10).
Wang, Q., Rao, V. and Teh, Y. (2020) “An exact auxiliary variable Gibbs sampler for a class of diffusions”, Journal of Computational and Graphical Statistics, 30(2), pp. 297–311.
Riley, S. et al. (2020) “High prevalence of SARS-CoV-2 swab positivity in England during September 2020: interim report of round 5 of REACT-1 study”, pp. 2020.09.30.20204727 – 2020.09.30.20204727.
O’Cathail, S. et al. (2020) “NRF2 metagene signature is a novel prognostic biomarker in colorectal cancer”, Cancer Genetics, 248, pp. 1–10.
Mateen, B. et al. (2020) “Improving the quality of machine learning in health applications and clinical research”, Nature Machine Intelligence, 2(10), pp. 554–556.
Okell, L. et al. (2020) “Host or pathogen-related factors in COVID-19 severity? – Authors’ reply”, The Lancet, 396(10260), pp. 1397 – 1397.
Pompe, E., Holmes, C. and Łatuszyński, K. (2020) “A framework for adaptive MCMC targeting multimodal distributions”, The Annals of Statistics, 48(5), pp. 2930–2952.
Radhakrishnan, S. et al. (2020) “Rabies as a Public Health Concern in India-A Historical Perspective.”, Tropical medicine and infectious disease, 5(4), pp. E162 - E162-.
Radhakrishnan, S. et al. (2020) “Rabies as a Public Health Concern in India-A Historical Perspective.”, Tropical medicine and infectious disease, 5(4), p. E162.