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 College London.

Research

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 and likelihood free methods for inference

Publications and Software

Publication list

Recent publications and preprints:

Shrinkage estimation of gene interaction networks in single-cell RNA sequencing data Vo DHT, Thorne T, biorxiv, 2024.
Identifying sub-populations of cells in single cell transcriptomic data – a Bayesian mixture modelling approach to zero-inflation of counts Wilson T, Vo DHT, Thorne T, Journal of Computational Biology 30 (10), 1059-1074, 2023. (preprint available here)
Rare Event ABC-SMC² Kerama I, Thorne T, Everitt RG, arxiv, 2022.
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.

Software:

scmixture - Bayesian mixture modelling of single cell transcriptomics
NetDiff - Bayesian model selection for differential gene regulatory network inference Thorne T, Scientific Reports, 6:39224, 2016. R package.

Group Members

PhD students:

Huan Huang – Systems biology analysis of data from GBM, with Dr Nelofer Syed.
Duong Vo – Network inference from single cell data.

Past students:

Ivis Kerama – PhD, with Dr Richard Everitt.
Niharika Paul – LMS undergraduate research project.
Tom Wilson – Summer research project.