Publications (Computational Biology and Bioinformatics) | Department of Statistics

Publications by Computational Biology and Bioinformatics

Xu, W. and Reinert, G. (2022) “A Kernelised Stein Statistic for Assessing Implicit Generative Models”, in Advances in Neural Information Processing Systems.

Xu, W. and Reinert, G. (2022) “AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators”, in Advances in Neural Information Processing Systems.

Atchison, C. et al. (2022) “Validity of self-testing at home with rapid SARS-CoV-2 antibody detection by lateral flow immunoassay”, medRxiv.

Penn, M. and Donnelly, C. (2022) “Asymptotic analysis of optimal vaccination policies”, medRxiv.

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

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.

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.

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.