Dr Tom Thorne
I am currently a Senior Lecturer in the Department of Computer Science at the University of Surrey.
Previously I was a Lecturer at the University of Reading, a Safra Research Fellow at Imperial College London, a Chancellor’s Fellow at the University of Edinburgh, and a postdoc in the Theoretical Systems Biology group at Imperial.
My research focuses on applications of statistical methodologies to problems in Systems Biology and Bioinformatics, specifically:
- Graphical modelling of gene regulatory networks
- Statistical analysis of protein-protein interaction networks
- Approximate methods for large scale inference
- GPGPU acceleration for statistical inference
Publications and Software
Recent publications and preprints:
- Topological Approximate Bayesian Computation for Parameter Inference of an Angiogenesis Model Thorne T, Kirk PDW, Harrington HA, Bioinformatics, 2022.
- Inhibition of the angiotensin II type 2 receptor AT2R is a novel therapeutic strategy for glioblastoma Perryman R, Renziehausen A, Shaye H, Kostagianni AD, Tsiailanis AD, Thorne T, Chatziathanasiadou MV, Sivolapenko GB, El Mubarak MA, Han GW, Zarzycka B, Katritch V, Lebon G, Lo Nigro C, Lattanzio L, Morse SV, Choi JJ, O’Neill K, Kanaki Z, Klinakis A, Crook T, Cherezov V, Tzakos AG, Syed N, PNAS, 119 (32) e2116289119, 2022.
- Identifying sub-populations of cells in single cell transcriptomic data – a Bayesian mixture model approach to zero-inflation of counts Wilson T, Thorne T, biorXiv, 2021.
- NetDiff - Bayesian model selection for differential gene regulatory network inference Thorne T, Scientific Reports, 6:39224, 2016. R package.