Modeling Stochastic Gene Regulatory Networks Using Direct Solutions of Chemical Master Equation and Rare Event Sampling

Emerging Research in the Analysis and Modeling of Gene Regulatory Networks
doi 10.4018/978-1-5225-0353-8.ch003
Full Text
Abstract

Available in full text

Date

Unknown

Authors
Publisher

IGI Global

Related search

A Hybrid of the Chemical Master Equation and the Gillespie Algorithm for Efficient Stochastic Simulations of Sub-Networks

PLoS ONE
Multidisciplinary
2016English

Rare Event Sampling Methods

Chaos
Nonlinear PhysicsApplied MathematicsMathematical PhysicsStatisticalMedicineAstronomyPhysics
2019English

Multi-Finite Buffer Method for Direct Solution of Discrete Chemical Master Equation

Biophysical Journal
Biophysics
2014English

Linear Mapping Approximation of Gene Regulatory Networks With Stochastic Dynamics

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2018English

Chemical Master Equation Empirical Moment Closure

Biological Systems: Open Access
2015English

Feedback Memetic Algorithms for Modeling Gene Regulatory Networks

2005English

Modeling DNA Sequence-Based Cis-Regulatory Gene Networks

Developmental Biology
Developmental BiologyCell BiologyMolecular Biology
2002English

Reconstructing Nonlinear Dynamic Models of Gene Regulation Using Stochastic Sampling

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2009English

Transient Analysis of Stochastic Switches and Trajectories With Applications to Gene Regulatory Networks

IET Systems Biology
GeneticsCell BiologyMolecular BiologySimulationModelingBiotechnology
2008English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy