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Jump to: Article | Book or Report Section Number of items: 11. ArticleLiang, H., Ganeshbabu, U. and Thorne, T. (2020) A dynamic Bayesian network approach for analysing topic-sentiment evolution. IEEE Access, 8. 54164 -54174. ISSN 2169-3536 doi: https://doi.org/10.1109/ACCESS.2020.2979012 Gafson, A. R., Savva, C., Thorne, T., David, M. J., Gomez-Romero, M., Lewis, M. R., Nicholas, R., Nicholson, J., Heslegrave, A., Zetterberg, H. and Matthews, P. M. (2019) Breaking the cycle: reversal of flux in the tricarboxylic acid cycle by dimethyl fumarate. Neurology: Neuroimmunology & Neuroinflammation, 6 (3). e562. ISSN 2332-7812 doi: https://doi.org/10.1212/NXI.0000000000000562 Thorne, T. (2018) Approximate inference of gene regulatory network models from RNA-Seq time series data. BMC Bioinformatics, 19. 127. ISSN 1471-2105 doi: https://doi.org/10.1186/s12859-018-2125-2 Gafson, A. R., Thorne, T., McKechnie, C. I. J., Jimenez, B., Nicholas, R. and Matthews, P. M. (2018) Lipoprotein markers associated with disability from multiple sclerosis. Scientific Reports, 8. 17026. ISSN 2045-2322 doi: https://doi.org/10.1038/s41598-018-35232-7 Thorne, T. (2016) NetDiff – Bayesian model selection for differential gene regulatory network inference. Scientific Reports, 6 (1). 39224. ISSN 2045-2322 doi: https://doi.org/10.1038/srep39224 Thorne, T. (2015) Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data. Statistical Applications in Genetics and Molecular Biology, 14 (6). pp. 575-583. ISSN 2194-6302 doi: https://doi.org/10.1515/sagmb-2015-0095 Žurauskienė, J., Kirk, P., Thorne, T. and Stumpf, M. P. H. (2014) Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit. Physica A: Statistical Mechanics and its Applications, 407. pp. 33-42. ISSN 0378-4371 doi: https://doi.org/10.1016/j.physa.2014.03.069 Žurauskienė, J., Kirk, P., Thorne, T., Pinney, J. and Stumpf, M. (2014) Derivative processes for modelling metabolic fluxes. Bioinformatics, 30 (13). pp. 1892-1898. ISSN 1460-2059 doi: https://doi.org/10.1093/bioinformatics/btu069 Kirk, P., Thorne, T. and Stumpf, M. P. H. (2013) Model selection in systems and synthetic biology. Current Opinion in Biotechnology, 24 (4). pp. 767-774. ISSN 0958-1669 doi: https://doi.org/10.1016/j.copbio.2013.03.012 Thorne, T., Fratta, P., Hanna, M. G., Cortese, A., Plagnol, V., Fisher, E. M. and Stumpf, M. P. H. (2013) Graphical modelling of molecular networks underlying sporadic inclusion body myositis. Molecular Biosystems, 9 (7). pp. 1736-1742. ISSN 1742-206X doi: https://doi.org/10.1039/c3mb25497f Book or Report SectionBabtie, A. C., Stumpf, M. P. H. and Thorne, T. (2019) Gene regulatory network inference. In: Voit, E. (ed.) Reference Module in Biomedical Sciences. Elsevier. doi: https://doi.org/10.1016/B978-0-12-801238-3.11346-7 |