Publications by Computational Biology and Bioinformatics

Cooper, J. et al. (2022) “Topological analysis of credit data: preliminary findings”, in Proceedings of the 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL). Springer, pp. 432–442.

Bennett, S., Cucuringu, M. and Reinert, G. (2022) “Lead–lag detection and network clustering for multivariate time series with an application to the US equity market”, Machine Learning, 111(12), pp. 4497–4538.

Sanchez-Garcia, R. et al. (2022) “CoPriNet: Graph Neural Networks provide accurate and rapid compound price prediction for molecule prioritisation.”, ChemRxiv.

Anastasiou, A. et al. (2022) “Stein’s method meets computational statistics: a review of some recent developments”, Statistical Science, 38(1), pp. 120–139.

Denholm, J. et al. (2022) “Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images”, Journal of Pathology Informatics, 13.

Fathi, M. et al. (2022) “Relaxing the Gaussian assumption in shrinkage and SURE in high dimension”, Annals of Statistics, 50(5), pp. 2737–2766.

Weckbecker, M., Xu, W. and Reinert, G. (2022) “On RKHS choices for assessing graph generators via kernel Stein statistics.”

Crook, O. et al. (2022) “Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE”, Nature Communications, 13(1), p. 5948.

Limnios, S. et al. (2022) “Random walk based conditional generative model for temporal networks with attributes ”, in Advances in Neural Information Processing Systems 36 (NeurIPS 2022). Neural Information Processing Systems Foundation.

He, Y. et al. (2022) “GNNRank: learning global rankings from pairwise comparisons via directed graph neural networks”, in Proceedings of the 39th International Conference on Machine Learning. Journal of Machine Learning Research, pp. 8581–8612.