Understanding stochastic simulations of the smallest genetic networks.
about
MicroRNA-based regulation of epithelial-hybrid-mesenchymal fate determinationHIV promoter integration site primarily modulates transcriptional burst size rather than frequencyMarkov State Models of gene regulatory networksACCURATE CHEMICAL MASTER EQUATION SOLUTION USING MULTI-FINITE BUFFERSState Space Truncation with Quantified Errors for Accurate Solutions to Discrete Chemical Master EquationA spatial toggle switch drives boundary formation in developmentSolution of the chemical master equation by radial basis functions approximation with interface tracking.Optimal enumeration of state space of finitely buffered stochastic molecular networks and exact computation of steady state landscape probability.Computational Cellular Dynamics Based on the Chemical Master Equation: A Challenge for Understanding Complexity.Biological role of noise encoded in a genetic network motif.Reversible and noisy progression towards a commitment point enables adaptable and reliable cellular decision-making.Speed, sensitivity, and bistability in auto-activating signaling circuitsLysogen stability is determined by the frequency of activity bursts from the fate-determining geneStability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression.Landscape and global stability of nonadiabatic and adiabatic oscillations in a gene network.Molecular level stochastic model for competence cycles in Bacillus subtilisA new mechanism of stem cell differentiation through slow binding/unbinding of regulators to genesA physical mechanism of cancer heterogeneityExtinction and resurrection in gene networksQuantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.Counter-intuitive stochastic behavior of simple gene circuits with negative feedback.Regulation of burstiness by network-driven activation.Effects of small particle numbers on long-term behaviour in discrete biochemical systems.Type of noise defines global attractors in bistable molecular regulatory systems.Multi-stable dynamics of the non-adiabatic repressilator.Multiple coupled landscapes and non-adiabatic dynamics with applications to self-activating genes.Self-regulatory gene: an exact solution for the gene gate model.Counting statistics for genetic switches based on effective interaction approximation.Steady-state fluctuations of a genetic feedback loop: an exact solution.Approximation scheme based on effective interactions for stochastic gene regulation.
P2860
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P2860
Understanding stochastic simulations of the smallest genetic networks.
description
2007 nî lūn-bûn
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2007年の論文
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年学术文章
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2007年學術文章
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2007年學術文章
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name
Understanding stochastic simulations of the smallest genetic networks.
@en
Understanding stochastic simulations of the smallest genetic networks.
@nl
type
label
Understanding stochastic simulations of the smallest genetic networks.
@en
Understanding stochastic simulations of the smallest genetic networks.
@nl
prefLabel
Understanding stochastic simulations of the smallest genetic networks.
@en
Understanding stochastic simulations of the smallest genetic networks.
@nl
P2860
P356
P1476
Understanding stochastic simulations of the smallest genetic networks.
@en
P2093
Daniel Schultz
P2860
P304
P356
10.1063/1.2741544
P407
P577
2007-06-01T00:00:00Z