Publications by Computational Biology and Bioinformatics Scheidwasser, N. et al. (2024) “Deep learning from videography as a tool for measuring E. coli infection in poultry”, bioRxiv. Mills, C., Kraemer, M. and Donnelly, C. (2024) “Interdisciplinary modelling and forecasting of dengue”, medRxiv. Rivera, L. et al. (2024) “Characteristics of Madariaga and Venezuelan Equine Encephalitis Virus Infections, Panama - Volume 30, Supplement—October 2024 - Emerging Infectious Diseases journal - CDC”, Emerging Infectious Diseases, 30(14), pp. 94–104. Ouyang, R. et al. (2024) “L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders”, in Complex Networks & Their Applications XII. Springer Nature, pp. 400–412. Wilsenach, J. et al. (2024) “Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity”, bioRxiv. Hayes, S. et al. (2024) “Ecology and environment predict spatially stratified risk of highly pathogenic avian influenza in wild birds across Europe”, bioRxiv. Ferreira, L., Hu, S. and Myers, S. (2024) “Unravelling genetic interactions affecting quantitative traits in the UK Biobank”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 791–792. McCabe, R. and Donnelly, C. (2023) “Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom”, Journal of the Royal Society Interface, 20. Carrera, J.-P. et al. (2023) “Real-time RT-PCR for Venezuelan equine encephalitis complex, Madariaga, and Eastern equine encephalitis viruses: application in human and mosquito public health surveillance in Panama”, Journal of Clinical Microbiology, 61(12), pp. e00152 - e00123. Penn, M. et al. (2023) “Leaping through tree space: continuous phylogenetic inference for rooted and unrooted trees”, Genome Biology and Evolution, 15(12). Previous page ‹‹ … Page 8 Page 9 Page 10 Page 11 Current page 12 Page 13 Page 14 Page 15 Page 16 … Next page ››