Publications by Computational Biology and Bioinformatics

Spoendlin, F. et al. (2023) “Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind the same epitope”, bioRxiv.

Mijoule, G. et al. (2023) “Stein’s density method for multivariate continuous distributions”, Electronic Journal of Probability, 28(none).

He, Y. et al. (2023) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, in Proceedings of Machine Learning Research, pp. 121–1227.

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.”