Algebraic expressions of conditional expectations in gene regulatory networks
From MaRDI portal
Publication:2330634
DOI10.1007/s00285-019-01410-yOpenAlexW2907352819WikidataQ92390869 ScholiaQ92390869MaRDI QIDQ2330634
Publication date: 22 October 2019
Published in: Journal of Mathematical Biology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00285-019-01410-y
Numerical analysis or methods applied to Markov chains (65C40) Generalized stochastic processes (60G20) General biology and biomathematics (92B05)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Method of conditional moments (MCM) for the chemical master equation
- Exact and approximate distributions of protein and mRNA levels in the low-copy regime of gene expression
- Computing the moments of high dimensional solutions of the master equation
- Solving the chemical master equation for monomolecular reaction systems analytically
- Asymptotic analysis of multiscale approximations to reaction networks
- Approximation of probabilistic reachability for chemical reaction networks using the linear noise approximation
- Stochastic modeling and numerical simulation of gene regulatory networks with protein bursting
- A multiple time interval finite state projection algorithm for the solution to the chemical master equation
- Hybrid method for the chemical master equation
- On Reduced Models for the Chemical Master Equation
- Probability and Conditional Expectation
- Modeling and Simulating Chemical Reactions
- Model Reconstruction for Moment-Based Stochastic Chemical Kinetics
- Parallelising the finite state projection method
- Error Bound for Piecewise Deterministic Processes Modeling Stochastic Reaction Systems
- Hybrid Stochastic--Deterministic Solution of the Chemical Master Equation
- Error Bound for Hybrid Models of Two-Scaled Stochastic Reaction Systems
This page was built for publication: Algebraic expressions of conditional expectations in gene regulatory networks