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Steady-state parameter sensitivity in stochastic modeling via trajectory reweighting
Steady-state parameter sensitivity stochastic modeling trajectory reweighting
2012/2/28
Parameter sensitivity analysis is a powerful tool in the building and analysis of biochemical network models. For stochastic simulations, parameter sensitivity analysis can be computationally expensiv...
Stochastic modeling of gene activation and application to cell regulation
Stochastic modeling gene activation application regulation
2010/11/15
Transcription factors (TFs) are key regulators of gene expression. Based on the classical scenario in which the TF search process switches between one-dimensional motion along the DNA molecule and fre...