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BMC Genomics|November 26, 2013
How reliable is the linear noise approximation of gene regulatory networks?Philipp Thomas, Hannes Matuschek, Ramon GrimaThe Journal of Chemical Physics|November 17, 2015
Comparison of different moment-closure approximations for stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon GrimaJournal of the Royal Society, Interface|October 5, 2021
Distinguishing between models of mammalian gene expression: telegraph-like models versus mechanistic modelsSvitlana Braichenko, James Holehouse, Ramon GrimaNPJ Systems Biology and Applications|January 11, 2025
Deterministic patterns in single-cell transcriptomic dataZhixing Cao, Yiling Wang, Ramon GrimaPlos One|June 23, 2012
Intrinsic noise analyzer: a software package for the exploration of stochastic biochemical kinetics using the system size expansionPhilipp Thomas, Hannes Matuschek, Ramon GrimaBulletin of Mathematical Biology|June 26, 2013
A graph-based approach for the approximate solution of the chemical master equationRaffaele Basile, Ramon Grima, Nikola PopovićIscience|September 19, 2022
Approximating solutions of the Chemical Master equation using neural networksAugustinas Sukys, Kaan Öcal, Ramon GrimaThe Journal of Chemical Physics|March 22, 2023
Model reduction for the Chemical Master Equation: An information-theoretic approachKaan Öcal, Guido Sanguinetti, Ramon GrimaThe Journal of Chemical Physics|September 1, 2014
Validity conditions for moment closure approximations in stochastic chemical kineticsDavid Schnoerr, Guido Sanguinetti, Ramon GrimaBiophysical Journal|March 11, 2020
Stochastic Modeling of Autoregulatory Genetic Feedback Loops: A Review and Comparative StudyJames Holehouse, Zhixing Cao, Ramon GrimaPageof 43