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.

Vandenbulcke, S. et al. (2024) “msqrob2TMT: robust linear mixed models for inferring differential abundant proteins in labelled experiments with arbitrarily complex design”, bioRxiv.

Rivera, L. et al. (2024) “Characteristics of Madariaga and Venezuelan Equine Encephalitis Virus Infections, Panama.”, Emerging infectious diseases, 30(14), pp. 94–104.

Scheidwasser, N. et al. (2024) “Deep learning from videography as a tool for measuring<i>E. coli</i>infection in poultry”, bioRxiv.

Mills, C., Kraemer, M. and Donnelly, C. (2024) “Interdisciplinary modelling and forecasting of dengue”, medRxiv.

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.

Villanueva, E. et al. (2024) “System-wide analysis of RNA and protein subcellular localization dynamics”, Nature Methods, 21(1), pp. 60–71.

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

Wilsenach, J. et al. (2024) “Graph models of brain state in deep anaesthesia reveal sink state dynamics of reduced spatiotemporal complexity and integration”, bioRxiv.

Stricker, M. et al. (2024) “Genome-wide classification of epigenetic activity reveals regions of enriched heritability in immune-related traits”, Cell Genomics, 4(1), p. 100469.