Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Honorary Research Fellow







Burlington DanesHammersmith Campus





I am currently a Safra Research Fellow in the Division of Brain Sciences at Imperial College London.




Thorne, T. Approximate inference of gene regulatory network models from RNA-Seq time series data. bioRxiv (2017)

Selected Publications

Journal Articles

Thorne TW, 2016, NetDiff – Bayesian model selection for differential gene regulatory network inference, Scientific Reports, Vol:6, ISSN:2045-2322

Thorne T, 2015, Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data, Statistical Applications in Genetics and Molecular Biology, Vol:14, ISSN:2194-6302, Pages:575-583

Zurauskiene J, Kirk P, Thorne T, et al., 2014, Derivative processes for modelling metabolic fluxes, Bioinformatics, Vol:30, ISSN:1367-4803, Pages:1892-1898

Thorne T, Fratta P, Hanna MG, et al., 2013, Graphical modelling of molecular networks underlying sporadic inclusion body myositis, Molecular Biosystems, Vol:9, ISSN:1742-206X, Pages:1736-1742

Thorne T, Stumpf MPH, 2012, Inference of temporally varying Bayesian Networks, Bioinformatics, Vol:28, ISSN:1367-4803, Pages:3298-3305

Harrington HA, Ho KL, Thorne T, et al., 2012, Parameter-free model discrimination criterion based on steady-state coplanarity, Proceedings of the National Academy of Sciences of the United States of America, Vol:109, ISSN:0027-8424, Pages:15746-15751

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