Publications (Computational Biology and Bioinformatics) | Department of Statistics - University of Oxford

Publications by Computational Biology and Bioinformatics

Penn, M. and Donnelly, C. (2022) “Analysis of a double Poisson model for predicting football results in Euro 2020”, PLoS One, 17(5).

Parag, K., Donnelly, C. and Zarebski, A. (2022) “Quantifying the information in noisy epidemic curves”, medRxiv.

Penn, M. and Donnelly, C. (2022) “Optimality of Maximal-Effort Vaccination”, medRxiv.

Mahajan, A. et al. (2022) “Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation”, Nature Genetics, 54(5), pp. 560–572.

He, Y. et al. (2022) “SSSNET: semi-supervised signed network clustering”, in Proceedings of the SIAM International Conference on Data Mining (SDM22). Society for Industrial and Applied Mathematics, pp. 244–252.

Carrera, J.-P. et al. (2022) “Venezuelan equine encephalitis complex, Madariaga and Eastern equine encephalitis viruses genome detection in human and mosquito populations”, medRxiv.

Parag, K. and Donnelly, C. (2022) “Fundamental limits on inferring epidemic resurgence in real time using effective reproduction numbers”, PLoS Computational Biology, 18(4).

Eales, O. et al. (2022) “The new normal? Dynamics and scale of the SARS-CoV-2 variant Omicron epidemic in England”, medRxiv.

Moreta, L. et al. (2022) “Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder.”, in, pp. 9556–9577.

Unwin, H. et al. (2022) “Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study.”, The Lancet. Child & adolescent health, 6(4), pp. 249–259.