Publications

Crook, O. et al. (2020) “A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection”, PLOS Computational Biology, 16(11), p. e1008288.

Barylyuk, K. et al. (2020) “A Comprehensive Subcellular Atlas of the Toxoplasma Proteome via hyperLOPIT Provides Spatial Context for Protein Functions”, Cell Host & Microbe, 28(5), pp. 752 – 766.e9.

Wu, F. and Rebeschini, P. (2020) “A Continuous-Time Mirror Descent Approach to Sparse Phase Retrieval”, arXiv.

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.

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.

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.

Crook, O. et al. (2020) “A Linear Transportation $\mathrm{L}^p$ Distance for Pattern Recognition”, arXiv.