Mathematical Modeling of Three - Dimensional Genetic Regulatory Networks Using Logistic and Gompertz Functions

Author:

Samuilik Inna1,Sadyrbaev Felix1,Ogorelova Diana1

Affiliation:

1. Department of Natural Sciences and Mathematics Daugavpils University Parades street1 LATVIA

Abstract

Mathematical modeling is a method of cognition of the surrounding world in which the description of the object is carried out in the language of mathematics, and the study of the model is performed using certain mathematical methods. Mathematical models based on ordinary differential equations (ODE) are used in the study of networks of different kinds, including the study of genetic regulatory networks (GRN). The use of ODE makes it possible to predict the evolution of GRN in time. Nonlinearity in these models is included in the form of a sigmoidal function. There are many of them, and in the literature, there are models that use different sigmoidal functions. The article discusses the models that use the logistic function and Gompertz function. The comparison of the results, related to three-dimensional networks, has been made. The text is accompanied by examples and illustrations.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Artificial Intelligence,General Mathematics,Control and Systems Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On attractors in dynamical systems modeling genetic networks;Advances in the Theory of Nonlinear Analysis and its Application;2023-07-23

2. The New Way to Solve Physical Problems Described by ODE of the Second Order with the Special Structure;WSEAS TRANSACTIONS ON SYSTEMS;2023-03-09

3. Mathematical Modeling of Four-dimensional Genetic Regulatory Networks Using a Logistic Function;WSEAS TRANSACTIONS ON COMPUTER RESEARCH;2022-12-20

4. Periodic attractors in GRN and ANN networks;2022 6th European Conference on Electrical Engineering & Computer Science (ELECS);2022-12

5. Examples of Periodic Biological Oscillators: Transition to a Six-dimensional System;WSEAS TRANSACTIONS ON COMPUTER RESEARCH;2022-05-05

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