Publications (Computational Biology and Bioinformatics) | Department of Statistics

Publications by Computational Biology and Bioinformatics

Menkir, T. et al. (2024) “Modeling the relative influence of socio-demographic variables on post-acute COVID-19 quality of life”, medRxiv.

He, Y. et al. (2024) “ROBUST ANGULAR SYNCHRONIZATION VIA DIRECTED GRAPH NEURAL NETWORKS”, in 12th International Conference on Learning Representations Iclr 2024.

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.

Bird, N. et al. (2024) “The reliability of inferred archaic segments in human genomes”, in EUROPEAN JOURNAL OF HUMAN GENETICS, pp. 1741–1741.

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.