Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
about
Combined model of intrinsic and extrinsic variability for computational network design with application to synthetic biologyQuantifying intrinsic and extrinsic variability in stochastic gene expression modelsAvoiding transcription factor competition at promoter level increases the chances of obtaining oscillation.Quantifying extrinsic noise in gene expression using the maximum entropy framework.Do DNA microarrays tell the story of gene expression?Mathematical descriptions of biochemical networks: stability, stochasticity, evolution.Role of relaxation time scale in noisy signal transduction.Deterministic characterization of stochastic genetic circuits.The relationship between stochastic and deterministic quasi-steady state approximations.Intercellular Variability in Protein Levels from Stochastic Expression and Noisy Cell Cycle Processes.Reduction of multiscale stochastic biochemical reaction networks using exact moment derivation.Mathematical analysis and quantification of fluorescent proteins as transcriptional reporters.Colored extrinsic fluctuations and stochastic gene expression.A van der Waals-like Transition Between Normal and Cancerous Phases in Cell Populations Dynamics of Colorectal Cancer.Noise Decomposition Principle in a Coherent Feed-Forward Transcriptional Regulatory Loop.Network dynamics.The utility of simple mathematical models in understanding gene regulatory dynamics.Long-time analytic approximation of large stochastic oscillators: Simulation, analysis and inference.Fluctuating noise drives Brownian transport.Perfect sampling of the master equation for gene regulatory networksCircadian clocks optimally adapt to sunlight for reliable synchronization.The effects of heterogeneity on stochastic cycles in epidemics.Stochastic modelling of nucleocytoplasmic oscillations of the transcription factor Msn2 in yeast.Molecular level dynamics of genetic oscillator--the effect of protein-protein interaction.Intrinsic fluctuations in stochastic delay systems: theoretical description and application to a simple model of gene regulation.Fluctuation and noise propagation in phenotypic transition cascades of clonal populations.Molecular noise induces concentration oscillations in chemical systems with stable node steady states.Rigorous elimination of fast stochastic variables from the linear noise approximation using projection operators.Robustness of glycolysis in yeast to internal and external noise.Learning dynamics in public goods games.Long delay times in reaction rates increase intrinsic fluctuations.Critical condition for the occurrence of a noise-reduction effectExtrinsic Noise Driven Phenotype Switching in a Self-Regulating GeneAn Accelerated Method for Simulating Population DynamicsNoise tunability in a gene model with star-type promoter structure
P2860
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P2860
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
description
2006 nî lūn-bûn
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2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@en
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@nl
type
label
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@en
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@nl
prefLabel
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@en
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@nl
P2860
P356
P1433
P1476
Estimations of intrinsic and extrinsic noise in models of nonlinear genetic networks.
@en
P2093
Brian Ingalls
Matthew Scott
P2860
P304
P356
10.1063/1.2211787
P50
P577
2006-06-01T00:00:00Z