Stochastic modeling of gene expression: application of ensembles of trajectories

It is well established that gene expression can be modeled as a Markovian stochastic process and hence proper observables might be subjected to large fluctuations and rare events. Since dynamics is often more than statics, one can work with ensembles of trajectories for long but fixed times, instead...

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Veröffentlicht in:	Physical biology 2019-10, Vol.16 (6), p.066010-066010
Hauptverfasser:	Torkaman, Pegah, Jafarpour, Farhad H
Format:	Artikel
Sprache:	eng
Schlagworte:	Gene Expression large deviations Markov Chains Markov processes modeling of regulatory networks Models, Genetic Probability Stochastic Processes
Online-Zugang:	Volltext
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