Publications by Computational Biology and Bioinformatics

Soares, I. et al. (2022) “Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning”, Nature Computational Science, 2(4), pp. 253–264.

Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”

Wilsenach, J. et al. (2022) “Ranking of Communities in Multiplex Spatiotemporal Models of Brain Dynamics.”

Wilsenach, J. et al. (2022) “Ranking of communities in multiplex spatiotemporal models of brain dynamics ”, Applied Network Science, 7.

Crook, O. (2022) “Challenges and opportunities for Bayesian statistics in proteomics”, Journal of Proteome Research, 21(4), pp. 849–864.

He, Y. et al. (2022) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, arXiv.

He, Y. et al. (2022) “GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks.”

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.”

Ernst, M., Reinert, G. and Swan, Y. (2022) “On Papathanasiou’s covariance expansions”, Latin American Journal of Probability and Mathematical Statistics, 19(2), pp. 1827 – 1827.

He, Y., Reinert, G. and Cucuringu, M. (2022) “DIGRAC: Digraph Clustering Based on Flow Imbalance”, in Proceedings of Machine Learning Research.