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Publications by Computational Biology and Bioinformatics

Steyn, N. et al. (2025) “A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo”, arXiv.
Fischer, A., Reinert, G. and Xu, W. (2025) “Stein’s method of moment estimators for local dependency exponential random graph models.”
Steyn, N. et al. (2025) “Pandemic-risk-related behaviour change in England from June 2020 to March 2022: REACT-1 study among over 2 million people”, medRxiv.
Quast, N. et al. (2025) “T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity”, Communications Biology, 8(1).
Vicco, A. et al. (2025) “Innovative methodological approach to assess dengue transmission: findings from the SERODEN study in Africa”, International Journal of Infectious Diseases, 152, pp. 107423 – 107423.
Awuah, A.-A. et al. (2025) “Seroprevalence of dengue in the Democratic Republic of Congo, Ghana and Senegal: results of the SERODEN study”, International Journal of Infectious Diseases, 152, pp. 107428 – 107428.
Kraemer, M. et al. (2025) “Artificial intelligence for modelling infectious disease epidemics”, Nature, 638(8051), pp. 623–635.
Wirth, L., Aminian, G. and Reinert, G. (2025) “Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance.”
Valsson, Í. et al. (2025) “Narrowing the gap between machine learning scoring functions and free energy perturbation using augmented data”, Communications Chemistry, 8(1).
Hu, S. et al. (2025) “Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits”, Nature Genetics, 57(2), pp. 379–389.