Publications by Computational Biology and Bioinformatics Bajaj, S. et al. (2024) “COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys”, The Lancet Digital Health, 6(11), pp. e778 - e790. Limnios, S. et al. (2024) “SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation”, in ECAI 2024. IOS Press. Mills, C. et al. (2024) “The utility of wastewater surveillance for monitoring SARS-CoV-2 prevalence”, PNAS Nexus, 3(10). Condado-Morales, I. et al. (2024) “A comparative study of the developability of full-length antibodies, fragments, and bispecific formats reveals higher stability risks for engineered constructs”, mAbs, 16(1), p. 2403156. Aminian, G. et al. (2024) “Generalization and Robustness of the Tilted Empirical Risk.” Mills, C. et al. (2024) “Renewal equations for vector-borne diseases”, arXiv. Zhang, R. and Reinert, G. (2024) “Simulating weak attacks in a new duplication–divergence model with node loss”, Entropy, 26(10). Miles, V. et al. (2024) “Evaluating camera‐based methods for estimating badger ( Meles meles ) density: Implications for wildlife management”, Ecological Solutions and Evidence, 5(3). Raybould, M. et al. (2024) “The observed T cell receptor space database enables paired-chain repertoire mining, coherence analysis and language modelling”, Cell Reports, 43(9). Smith, D. et al. (2024) “Health and economic impacts of Lassa vaccination campaigns in West Africa”, Nature Medicine, 30(12). Previous page ‹‹ … Page 4 Page 5 Page 6 Page 7 Current page 8 Page 9 Page 10 Page 11 Page 12 … Next page ››