Publications by Computational Biology and Bioinformatics

Raybould, M. et al. (2023) “Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling”, bioRxiv.

Shi, S. et al. (2023) “A Genomics England haplotype reference panel and the imputation of the UK Biobank”, medRxiv.

Hu, S. et al. (2023) “Leveraging fine-scale population structure reveals conservation in genetic effect sizes between human populations across a range of human phenotypes”, bioRxiv.

Giner-Sorolla, R. and Myers, S. (2023) “On cooperative libertines and wicked puritans”, Behavioral and Brain Sciences, 46, p. e306.

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”, bioRxiv.

He, Y. et al. (2022) “MSGNN: a spectral graph neural network based on a novel magnetic signed Laplacian”, in Proceedings of the First Learning on Graphs Conference (LoG 2022). Journal of Machine Learning Research, pp. 40:1 – 40:39.

Fatima, A. and Reinert, G. (2022) “Stein’s method for distributions modelling competing and complementary risk problems.”

Clarkson, J. et al. (2022) “DAMNETS: a deep autoregressive model for generating Markovian network time series”, in Proceedings of the First Learning on Graphs Conference. Journal of Machine Learning Research, pp. 23:1 – 23:19.

Crook, O. et al. (2022) “Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics.”, The annals of applied statistics, 16(4), pp. 22 - aoas1603.

Crook, O. et al. (2022) “Analysis of the first genetic engineering attribution challenge”, Nature Communications, 13(1), p. 7374.