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

Publications by Computational Biology and Bioinformatics

Raybould, M. et al. (2022) “Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, bioRxiv.

Menkir, T. and Donnelly, C. (2022) “The impact of repeated rapid test strategies on the effectiveness of at-home antiviral treatments for SARS-CoV-2”, medRxiv.

Ernst, M., Reinert, G. and Swan, Y. (2022) “On Papathanasiou’s covariance expansions”, Latin American Journal of Probability and Mathematical Statistics, 19(2), pp. 1827 – 1827.

Raybould, M. and Deane, C. (2022) “The Therapeutic Antibody ProfilerTherapeutic antibody profiler (TAP) for Computational Developability Assessment”, in Therapeutic Antibodies. Springer Nature, pp. 115–125.

Whitaker, M. et al. (2022) “Variant-specific symptoms of COVID-19 among 1,542,510 people in England”, medRxiv.

Eales, O. et al. (2022) “Quantifying changes in the IFR and IHR over 23 months of the SARS-CoV-2 pandemic in England”, medRxiv.

Eales, O. et al. (2022) “Appropriately smoothing prevalence data to inform estimates of growth rate and reproduction number”, medRxiv.

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.

Hillis, S. et al. (2021) “COVID-19-Associated Orphanhood and Caregiver Death in the United States”, arXiv.