Publications by Computational Biology and Bioinformatics

Wills, S. et al. (2022) “The use of a graph database is a complementary approach to a classical similarity search for identifying commercially available fragment merges”, bioRxiv.

Sanchez-Garcia, R. et al. (2022) “Cryo-EM map anisotropy can be attenuated by map post-processing and a new method for its estimation”, bioRxiv.

Raybould, M. et al. (2022) “Computationally profiling peptide:MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, bioRxiv.

Crook, O., Chung, C.-W. and Deane, C. (2022) “A functional Bayesian model for hydrogen-deuterium exchange mass-spectrometry”, bioRxiv.

Raybould, M. and Deane, C. (2022) “The Therapeutic Antibody ProfilerTherapeutic antibody profiler (TAP) for Computational Developability Assessment”, in Therapeutic Antibodies. Springer Nature, pp. 115–125.

Villanueva, E. et al. (2022) “A system-wide quantitative map of RNA and protein subcellular localisation dynamics”, bioRxiv.

Xu, W. and Reinert, G. (2022) “AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators”, in Advances in Neural Information Processing Systems.

He, Y. et al. (2022) “MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian”, in Proceedings of Machine Learning Research.

Xu, W. and Reinert, G. (2022) “A Kernelised Stein Statistic for Assessing Implicit Generative Models”, in Advances in Neural Information Processing Systems.

Temčinas, T., Nanda, V. and Reinert, G. (2021) “Multivariate Central Limit Theorems for Random Clique Complexes”, arXiv.