Mohammad Khatim Hasan and Jumat Sulaiman and Samsul Arifin Abdul Karim (2016) Scilab solution to genetic network problem. Jurnal KALAM, 9 (2). pp. 6069.

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Abstract
Genetic networks can be represented by a system of ordinary differential equations. These representations give the opportunity for researchers to simulate the behaviour of its gene numerically. In this paper, we apply two fourth order methods, namely AdamBashforthMoultan (an implicit method which produce a very high accuracy solution) and fourth order RungeKutta (an explicit method which also produce a very high accuracy solution) using a free open source software named Scilab. We use both methods to simulate problem in toggle switch and biological clock of Neurospora Crassa. Finding shows that both methods perform well in simulating toggle switch and biological clock problem. Simplistic approach but outstanding solution (output) gathered via Scilab was the main attractive characteristic for using the software. Choosing Scilab was very relevant and beneficial for solving problem numerically. Usage of the software will reduce organization budget in teaching and learning
Item Type:  Article 

Keyword:  AdamBashforthMoultan, fourth order RungeKutta (RK4), genetic network, toggle switch, biological clock, Nuerospora crassa, ordinary differential equations, Scilab. 
Subjects:  Q Science > QA Mathematics 
Department:  FACULTY > Faculty of Science and Natural Resources 
Depositing User:  NORAINI LABUK  
Date Deposited:  01 Mar 2018 10:33 
Last Modified:  01 Mar 2018 10:33 
URI:  https://eprints.ums.edu.my/id/eprint/19013 
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