Philipp Thomas
Philipp Thomas
Department of Mathematics, Imperial College London
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Cited by
Cited by
Phenotypic switching in gene regulatory networks
P Thomas, N Popović, R Grima
Proceedings of the National Academy of Sciences 111 (19), 6994-6999, 2014
How accurate are the nonlinear chemical Fokker-Planck and chemical Langevin equations?
R Grima, P Thomas, AV Straube
The Journal of chemical physics 135 (8), 084103, 2011
The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditions
P Thomas, AV Straube, R Grima
BMC systems biology 6 (1), 39, 2012
Stochastic simulation of biomolecular networks in dynamic environments
M Voliotis, P Thomas, R Grima, CG Bowsher
PLoS computational biology 12 (6), e1004923, 2016
Inference for stochastic chemical kinetics using moment equations and system size expansion
F Fröhlich, P Thomas, A Kazeroonian, FJ Theis, R Grima, J Hasenauer
PLoS computational biology 12 (7), e1005030, 2016
Rigorous elimination of fast stochastic variables from the linear noise approximation using projection operators
P Thomas, R Grima, AV Straube
Physical Review E 86 (4), 041110, 2012
Intrinsic noise analyzer: a software package for the exploration of stochastic biochemical kinetics using the system size expansion
P Thomas, H Matuschek, R Grima
PloS one 7 (6), e38518, 2012
Sources, propagation and consequences of stochasticity in cellular growth
P Thomas, G Terradot, V Danos, AY Weiße
Nature Communications 9 (1), 4528, 2018
Communication: Limitations of the stochastic quasi-steady-state approximation in open biochemical reaction networks
P Thomas, AV Straube, R Grima
The Journal of chemical physics 135 (18), 181103, 2011
Signatures of nonlinearity in single cell noise-induced oscillations
P Thomas, AV Straube, J Timmer, C Fleck, R Grima
Journal of theoretical biology 335, 222-234, 2013
bayNorm: Bayesian gene expression recovery, imputation and normalization for single-cell RNA-sequencing data
W Tang, F Bertaux, P Thomas, C Stefanelli, M Saint, S Marguerat, ...
Bioinformatics 36 (4), 1174-1181, 2020
How reliable is the linear noise approximation of gene regulatory networks?
P Thomas, H Matuschek, R Grima
BMC genomics 14 (Suppl 4), S5, 2013
Stochastic theory of large-scale enzyme-reaction networks: Finite copy number corrections to rate equation models
P Thomas, AV Straube, R Grima
The Journal of chemical physics 133 (19), 195101, 2010
Approximate probability distributions of the master equation
P Thomas, R Grima
Physical Review E 92 (1), 012120, 2015
Cell size control driven by the circadian clock and environment in cyanobacteria
BMC Martins, AK Tooke, P Thomas, JCW Locke
Proceedings of the National Academy of Sciences 115 (48), E11415-E11424, 2018
Making sense of snapshot data: ergodic principle for clonal cell populations
P Thomas
Journal of The Royal Society Interface 14 (136), 20170467, 2017
Intrinsic and extrinsic noise of gene expression in lineage trees
P Thomas
Scientific Reports 9 (1), 474, 2019
Mycobacteria modify their cell size control under sub-optimal carbon sources
M Priestman, P Thomas, BD Robertson, V Shahrezaei
Frontiers in Cell and Developmental Biology 5, 64, 2017
Stochastic modelling reveals mechanisms of metabolic heterogeneity
MK Tonn, P Thomas, M Barahona, DA Oyarzún
Communications biology 2 (1), 108, 2019
Bounding the stationary distributions of the chemical master equation via mathematical programming
J Kuntz, P Thomas, GB Stan, M Barahona
The Journal of Chemical Physics 151 (3), 034109, 2019
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