Exactly solvable models of stochastic gene expression

Stochastic models are key to understanding the intricate dynamics of gene expression. However, the simplest models that only account for active and inactive states of a gene fail to capture common observations in both prokaryotic and eukaryotic organisms. Here, we consider multistate models of gene...

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Veröffentlicht in:	The Journal of chemical physics 2020-04, Vol.152 (14), p.144106-144106
Hauptverfasser:	Ham, Lucy, Schnoerr, David, Brackston, Rowan D., Stumpf, Michael P. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Deoxyribonucleic acid DNA Gene expression Power series Prokaryotes Series expansion Stochastic models
Online-Zugang:	Volltext
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