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Iscience|March 22, 2021
Cell size distribution of lineage data: analytic results and parameter inferenceChen Jia, Abhyudai Singh, Ramon GrimaProceedings of the National Academy of Sciences of the United States of America|May 1, 2014
Phenotypic switching in gene regulatory networksPhilipp Thomas, Nikola Popović, Ramon GrimaPlos Computational Biology|October 4, 2022
Concentration fluctuations in growing and dividing cells: Insights into the emergence of concentration homeostasisChen Jia, Abhyudai Singh, Ramon GrimaThe Journal of Chemical Physics|July 17, 2014
The complex chemical Langevin equationDavid Schnoerr, Guido Sanguinetti, Ramon GrimaJournal of Mathematical Biology|February 24, 2026
Spectral theory of stochastic gene expression: a Hilbert space frameworkBingjie Wu, Ramon Grima, Chen JiaThe Journal of Chemical Physics|November 18, 2011
Communication: limitations of the stochastic quasi-steady-state approximation in open biochemical reaction networksPhilipp Thomas, Arthur V Straube, Ramon GrimaThe Journal of Chemical Physics|September 8, 2011
How accurate are the nonlinear chemical Fokker-Planck and chemical Langevin equations?Ramon Grima, Philipp Thomas, Arthur V StraubePhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 11, 2012
Rigorous elimination of fast stochastic variables from the linear noise approximation using projection operatorsPhilipp Thomas, Ramon Grima, Arthur V StraubeThe Journal of Chemical Physics|November 25, 2010
Stochastic theory of large-scale enzyme-reaction networks: finite copy number corrections to rate equation modelsPhilipp Thomas, Arthur V Straube, Ramon GrimaBMC Systems Biology|May 16, 2012
The slow-scale linear noise approximation: an accurate, reduced stochastic description of biochemical networks under timescale separation conditionsPhilipp Thomas, Arthur V Straube, Ramon GrimaPageof 43