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Publications by Computational Biology and Bioinformatics

Moreta, L. et al. (2022) “Ancestral protein sequence reconstruction using a tree-structured Ornstein-Uhlenbeck variational autoencoder.”, in, pp. 9556–9577.
Unwin, H. et al. (2022) “Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study.”, The Lancet. Child & adolescent health, 6(4), pp. 249–259.
Chadeau-Hyam, M. et al. (2022) “SARS-CoV-2 infection and vaccine effectiveness in England (REACT-1): a series of cross-sectional random community surveys”, The Lancet Respiratory Medicine, 10(4), pp. 355–366.
Unwin, H. et al. (2022) “Global, regional, and national minimum estimates of children affected by COVID-19-associated orphanhood and caregiver death, by age and family circumstance up to Oct 31, 2021: an updated modelling study.”, The Lancet. Child & adolescent health, 6(4), pp. 249–259.
Clarkson, J. et al. (2022) “DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series.”
Elliott, P. et al. (2022) “Rapid increase in Omicron infections in England during December 2021: REACT-1 study”, Science, 375(6587), pp. eabn8347 – 1406.
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.
Espinosa-Guerra, E. et al. (2022) “Mental health consequences of COVID-19 in house staff physicians”, F1000Research, 11, pp. 303 – 303.
He, Y. et al. (2022) “PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs”, arXiv.