Approximation of event probabilities in noisy cellular processes

Didier, FredericHenzinger, Thomas A.Mateescu, MariaWolf, Verena2011-12-162011-12-162011-12-16201110.1016/j.tcs.2010.10.022https://infoscience.epfl.ch/handle/20.500.14299/74163WOS:000290078000005Molecular noise, which arises from the randomness of the discrete events in the cell, significantly influences fundamental biological processes. Discrete-state continuous-time stochastic models (CTMC) can be used to describe such effects, but the calculation of the probabilities of certain events is computationally expensive.Chemical master equationGillespie simulationMarkov chainInfinite-state modelGene-ExpressionStochastic SimulationEscherichia-ColiNetworksSystemsRobustnessKineticsRhythmsFateApproximation of event probabilities in noisy cellular processestext::journal::journal article::research article