F. Sadyrbaev, Inna Samuilik, V. Sengileyev
tlooto Summary
This work considers mathematical model of genetic regulatory networks (GRN), which consists of a nonlinear system of ordinary differential equations and the vector of solutions X(t) is interpreted as a current state of a network for a given value of time t.
Abstract
We consider mathematical model of genetic regulatory networks (GRN). This model consists of a nonlinear system of ordinary differential equations. The vector of solutions X(t) is interpreted as a current state of a network for a given value of time t: Evolution of a network and future states depend heavily on attractors of system of ODE. We discuss this issue for low dimensional networks and show how the results can be applied for the study of large size networks. Examples and visualizations are provided
Citation format
SADYRBAEV, F.; SAMUILIK, Inna; SENGILEYEV, V. On modelling of genetic regulatory net works. WSEAS Transactions on Electronics, 2021.