Publications by Computational Biology and Bioinformatics

Reinert, G., Nanda, V. and Temcinas, T. (2023) “Multivariate central limit theorems for random clique complexes”, Journal of Applied and Computational Topology [Preprint].

He, Y. et al. (2023) “Robust Angular Synchronization via Directed Graph Neural Networks”, arXiv.

Temčinas, T., Nanda, V. and Reinert, G. (2023) “Goodness-of-fit via Count Statistics in Dense Random Simplicial Complexes”, arXiv.

Spoendlin, F. et al. (2023) “Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind to the same epitope”, Frontiers in Molecular Biosciences, 10, p. 1237621.

Armbruster, S. and Reinert, G. (2023) “COVID-19 incidence in the Republic of Ireland: A case study for network-based time series models.”

Limnios, S. et al. (2023) “SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation”, arXiv.

Mantziou, A. et al. (2023) “The GNAR-edge model: A network autoregressive model for networks with time-varying edge weights”, arXiv.

Gaunt, R. and Reinert, G. (2023) “Bounds for the chi-square approximation of Friedman’s statistic by Stein’s method”, Bernoulli - Journal of the Bernoulli Society, 29(3), pp. 2008–2034.

Giner-Sorolla, R., Myers, S. and Rottman, J. (2023) “Reply to Dahl: Moral Content is Varied, and Premature Definitions Should Not Constrain It”, Psychological Inquiry, 34(2), pp. 86–90.

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