| Bayesian uncertainty quantification for data-driven equation learning S Martina-Perez, MJ Simpson, RE Baker Proceedings of the Royal Society A 477 (2254), 20210426, 2021 | 14 | 2021 |
| Efficient Bayesian inference for mechanistic modelling with high-throughput data S Martina Perez, H Sailem, RE Baker PLOS Computational Biology 18 (6), e1010191, 2022 | 3 | 2022 |
| Optimal control of collective electrotaxis in epithelial monolayers SF Martina-Perez, IB Breinyn, DJ Cohen, RE Baker Bulletin of Mathematical Biology 86 (8), 95, 2024 | 2 | 2024 |
| Spatial heterogeneity in collective electrotaxis: continuum modelling and applications to optimal control SF Martina-Perez, IB Breinyn, DJ Cohen, RE Baker bioRxiv, 2024 | | 2024 |
| Cellular cruise control: energy expenditure as a regulator of collective migration in epithelia IB Breinyn, SF Martina Perez, R Baker, DJ Cohen bioRxiv, 2024.05. 21.595054, 2024 | | 2024 |
| Identification of Neural Crest and Neural Crest-Derived Cancer Cell Invasion and Migration Genes Using High-throughput Screening and Deep Attention Networks JC Kasemeier-Kulesa, S Martina Perez, E Baker, PM Kulesa bioRxiv, 2024.03. 07.583913, 2024 | | 2024 |
Ruth BakerUniversity of OxfordVerified email at maths.ox.ac.uk
