Publications by Computational Biology and Bioinformatics

Xu, W. and Reinert, G. (2023) “A kernelised Stein statistic for assessing implicit generative models”, Advances in Neural Information Processing Systems 35.

Xu, W. and Reinert, G. (2023) “AgraSSt: approximate graph Stein statistics for interpretable assessment of implicit graph generators”, Advances in Neural Information Processing Systems 35.

Guérin, A. et al. (2023) “Cryptosporidium uses multiple distinct secretory organelles to interact with and modify its host cell”, Cell Host and Microbe, 31(4), pp. 650 – 664.e6.

Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-trading networks for modeling dynamic interdependency structures and estimating high-dimensional covariances in US equity markets”, arXiv.

Lu, Y., Reinert, G. and Cucuringu, M. (2023) “Co-Trading Networks for Modeling Dynamic Interdependency Structures and Estimating High-Dimensional Covariances in US Equity Markets”, SSRN Electronic Journal.

Agarwal, I. et al. (2023) “Relating pathogenic loss-of-function mutations in humans to their evolutionary fitness costs”, eLife, 12, p. e83172.

Raybould, M. et al. (2023) “Computationally profiling peptide: MHC recognition by T-cell receptors and T-cell receptor-mimetic antibodies”, Frontiers in Immunology, 13.

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.