Publications by Computational Biology and Bioinformatics

Quast, N. et al. (2024) “T-cell receptor structures and predictive models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity”, bioRxiv.

Raybould, M. et al. (2024) “The Observed T cell receptor Space database enables paired-chain repertoire mining, coherence analysis and language modelling”, bioRxiv.

Clarkson, J. et al. (2024) “Split Conformal Prediction under Data Contamination”, in Proceedings of Machine Learning Research, pp. 5–27.

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.

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”, 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.

Abanades, B. et al. (2023) “The patent and literature antibody database (PLAbDab): an evolving reference set of functionally diverse, literature-annotated antibody sequences and structures”, Nucleic Acids Research [Preprint].

Mantziou, A. et al. (2023) “The GNAR-edge model: a network autoregressive model for networks with time-varying edge weights”, Journal of Complex Networks, 11(6).

Temčinas, T., Nanda, V. and Reinert, G. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology, 8(6), pp. 1837–1880.