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

Publications by Computational Biology and Bioinformatics

Espinosa-Guerra, E. et al. (2021) “Prevalence and associated factors with mental health outcomes among interns and residents physicians during COVID-19 epidemic in Panama: a cross-sectional study”, p. 2021.03.26.21254435.

Woodroffe, R. et al. (2021) “Successive use of shared space by badgers and cattle: implications for Mycobacterium bovis transmission”, Journal of Zoology, 314(2), pp. 132–142.

Xu, W. and Reinert, G. (2021) “A Stein goodness-of-test for exponential random graph models”, pp. 415–423.

Raybould, M. et al. (2021) “Public Baseline and shared response structures support the theory of antibody repertoire functional commonality”, PLOS Computational Biology, 17(3).

Unwin, H. et al. (2021) “Using next generation matrices to estimate the proportion of infections that are not detected in an outbreak”, p. 2021.02.24.21252339.

Ward, H. et al. (2021) “SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic”, Nature Communications, 12(1), p. 905.

Lavezzo, E. et al. (2021) “Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’”, Nature, 590(7844), pp. e11 - e11.

Pardo-Diaz, J. et al. (2021) “Robust gene coexpression networks using signed distance correlation”, Bioinformatics, 14(15), pp. 1982–1989.

Franco, D. et al. (2021) “Early Transmission Dynamics, Spread, and Genomic Characterization of SARS-CoV-2 in Panama - Volume 27, Number 2—February 2021 - Emerging Infectious Diseases journal - CDC”, Emerging Infectious Diseases, 27(2), pp. 612–615.

Riley, S. et al. (2021) “REACT-1 round 8 final report: high average prevalence with regional heterogeneity of trends in SARS-CoV-2 infection in the community in England during January 2021”, p. 2021.01.28.21250606.