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

Publications by Computational Biology and Bioinformatics

Atchison, C. et al. (2023) “Characteristics and predictors of persistent symptoms post COVID-19 in children and young people: a large community cross-sectional study in England”, Archives of Disease in Childhood, 108(7).

Kartsonaki, C. et al. (2023) “Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19”, International Journal of Epidemiology, 52(2), pp. 355–376.

López-Güell, K. et al. (2023) “The impact of COVID-19 certification mandates on the number of cases of and hospitalizations with COVID-19 in the UK: A difference-in-differences analysis”, in Frontiers in Public Health. Frontiers Media, pp. 1019223–1019223.

Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-Trading Networks for Modeling Dynamic Interdependency Structures and Estimating High-Dimensional Covariances in US Equity Markets”, SSRN Electronic Journal.

Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-trading networks for modeling dynamic interdependency structures and estimating high-dimensional covariances in US equity markets”, arXiv.

Eales, O. et al. (2023) “The use of representative community samples to assess SARS-CoV-2 lineage competition: Alpha outcompetes Beta and wild-type in England from January to March 2021”, Microbial Genomics, 9(2).

Penn, M. and Donnelly, C. (2023) “Asymptotic analysis of optimal vaccination policies”, Bulletin of Mathematical Biology, 85.

Agarwal, I. et al. (2023) “Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs”, eLife, 12, p. e83172.

Raybould, M. et al. (2023) “Computationally profiling peptide: MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, Frontiers in Immunology, 13.

Giner-Sorolla, R. and Myers, S. (2023) “On cooperative libertines and wicked puritans”, Behavioral and Brain Sciences, 46, pp. e306 - e306-.