T. Thorne

发表

Evolution at the system level: the natural history of protein interaction networks.

M. Stumpf, W. P. Kelly, T. Thorne, 2007, Trends in ecology & evolution.

Estimating the size of the human interactome

Hyeong Jun An, M. Lappe, M. Stumpf, 2008, Proceedings of the National Academy of Sciences.

The Evolution of the Phage Shock Protein Response System: Interplay between Protein Function, Genomic Organization, and System Function

M. Stumpf, T. Thorne, J. Pinney, 2010, Molecular biology and evolution.

Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

M. Stumpf, T. Thorne, Justina Zurauskiene, 2014 .

Calibrating spatio-temporal models of leukocyte dynamics against in vivo live-imaging data using approximate Bayesian computation.

Thomas Thorne, Juliane Liepe, Michael P H Stumpf, 2012, Integrative biology : quantitative biosciences from nano to macro.

Generating confidence intervals on biological networks

Michael P. H. Stumpf, Thomas Thorne, M. Stumpf, 2007, BMC Bioinformatics.

NetDiff – Bayesian model selection for differential gene regulatory network inference

Thomas Thorne, T. Thorne, 2016, Scientific Reports.

Probabilistic methods in the analysis of protein interaction networks

Thomas Thorne, T. Thorne, 2010 .

Explorer Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data

T. Thorne, Thomas Thorne, 2017 .

A dynamic Bayesian network approach for analysing topic-sentiment evolution dynamic Bayesian network approach for analysing topic-sentiment

T. Thorne, Huizhi Liang, Umarani Ganeshbabu, 2020 .

Prediction of putative protein interactions through evolutionary analysis of osmotic stress response in the model yeast Saccharomyces cerevisae.

T. Thorne, M. Huvet, M. Stumpf, 2011, Fungal genetics and biology : FG & B.

Rare event ABC-SMC$^{2}$

T. Thorne, R. Everitt, Ivis Kerama, 2022, 2211.02172.

University of Birmingham Derivative processes for modelling metabolic fluxes

T. Thorne, J. Pinney, Justina Zurauskiene, 2014 .

Considerate approaches to constructing summary statistics for ABC model selection

S. Filippi, T. Thorne, C. Barnes, 2012, Statistics and Computing.

The effects of incomplete protein interaction data on structural and evolutionary inferences

Carsten Wiuf, Thomas Thorne, Eric de Silva, 2006, BMC Biology.

Approximate inference of gene regulatory network models from RNA-Seq time series data

Thomas Thorne, T. Thorne, Thomas Thorne, 2017, BMC Bioinformatics.

Combinatorial stresses kill pathogenic Candida species

C. Grebogi, J. Stark, T. Thorne, 2012, Medical mycology.

Statistical Null Models for Biological Network Analysis

M. Stumpf, W. P. Kelly, T. Thorne, 2009 .

Identifying sub-populations of cells in single cell transcriptomic data – a Bayesian mixture model approach to zero-inflation of counts

T. Thorne, 2021, bioRxiv.

Model selection in systems and synthetic biology.

Thomas Thorne, Michael P H Stumpf, Paul Kirk, 2013, Current opinion in biotechnology.

A systems biology analysis of long and short-term memories of osmotic stress adaptation in fungi

Celso Grebogi, Ken Haynes, Thomas Thorne, 2012, BMC Research Notes.

Parameter-free model discrimination criterion based on steady-state coplanarity

Kenneth L. Ho, Heather A. Harrington, Thomas Thorne, 2011, Proceedings of the National Academy of Sciences.

Inhibition of the angiotensin II type 2 receptor AT2R is a novel therapeutic strategy for glioblastoma

James J. Choi, T. Thorne, V. Katritch, 2022, Proceedings of the National Academy of Sciences of the United States of America.

Gene Regulatory Network Inference

M. Stumpf, T. Thorne, A. Babtie, 2021, Systems Medicine.

Considerate approaches to constructing summary statistics for ABC model selection

Michael P. H. Stumpf, Sarah Filippi, Chris P. Barnes, 2012, Statistics and Computing.

Topological approximate Bayesian computation for parameter inference of an angiogenesis model

Heather A. Harrington, Paul D. W. Kirk, Thomas Thorne, 2021, Bioinformatics.

Considerate approaches to achieving sufficiency for ABC model selection

Sarah Filippi, Thomas Thorne, Michael P.H. Stumpf, 2011, 1106.6281.

Multi-model inference of network properties from incomplete data

Michael P. H. Stumpf, Thomas Thorne, M. Stumpf, 2006, J. Integr. Bioinform..

Graph spectral analysis of protein interaction network evolution

Michael P. H. Stumpf, Thomas Thorne, M. Stumpf, 2012, Journal of The Royal Society Interface.

Inference of temporally varying Bayesian Networks

Michael P. H. Stumpf, Thomas Thorne, M. Stumpf, 2012, Bioinform..

Identifying sub-populations of cells in single cell transcriptomic data – a Bayesian mixture modelling approach to zero-inflation of counts

T. Thorne, Tom Wilson, Duong H.T. Vo, 2021, bioRxiv.

Empirical likelihood tests for nonparametric detection of differential expression from RNA-seq data

Thomas Thorne, T. Thorne, Thomas Thorne, 2015, Statistical applications in genetics and molecular biology.