CASTANET: Computational package for deriving Analytical STAtionary distributions of biochemical reaction networks with NEtwork Translation.
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Updated
Feb 26, 2021 - MATLAB
CASTANET: Computational package for deriving Analytical STAtionary distributions of biochemical reaction networks with NEtwork Translation.
This repository contains the Python modules and scripts to reproduce the results in the paper "Catanach, Vo, Munsky. IJUQ 2020."
Fortran implementation of the Krylov-FSP-SSA algorithm for solving the Chemical Master Equation.
CUDA-based implementation of the Finite State Projection (FSP) algorithm.
A deep learning framework for solving the Chemical Master Equation
Code to reproduce the numerical results in the manuscript, "Bayesian estimation of stochastic gene expression using multifidelity models "Huy D. Vo*, Zachary R. Fox, Ania A. Baetica, Brian E. Munsky.
Matlab codes for analyzing and designing single-cell experiments.
Library for parallel direct solution of the Chemical Master Equation (CME).
Implementation of algorithms for simulating gene expression and translation in order to investigate about NF-kB model in colon cancer cells.
Direct solution of the Chemical Master Equation in Julia.
Stochastic chemical kinetics using Gillespie algorithm and chemical master equation, application to enzyme kinetics
Python wrapper for PACMENSL.
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