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All living organisms are built from millions of cells that work together in a very systematic manner. The trait of each organism is determined by the cells. The function of a living cell is performed by a sequence of well-coordinated activities by a large number of genes. The gene itself is a sequence of Deoxyribonucleic Acid (DNA). The products of a cell are made by the proteins synthesized in accordance with the instructions contained in the DNA (Willett, 2006) since it encodes all the information required for the development and functioning of an organism (Emmert-Streib & Dehmer, 2008). The expression of a gene is a biological process which a DNA sequence is translated to become a protein. The protein is an important molecule for determining the structure, mortality, metabolism, signaling, reproduction, etc. of a cell. Some genes influence how other gene or genes are expressed. Modifying genes may change the affect of other genes. The expression of a gene or genes is regulated by a mechanism called Genetic Regulatory System (GRS). The GRS’ task is to control whether genes are active or inhibit. Of ways for understanding and analyzing the behavior of GRS is by using microarray data. Microarray is sets of miniaturized reaction areas that may also be used to test the binding of DNA fragment (Reece, 2004). and it exploits the preferential binding of complementary nucleic acid sequences to simultaneously measure expression levels of thousands of genes (Dill, Liu, & Grodzinski, 2009). By having knowledge regarding the influence of a gene or genes to the others in microarray data, we can make estimations of the genes behavior in GRS in order to obtain better products in the future. According to (Ewens & Grant, 2005), there are three basic questions that can be answered by using microarray data: a. What genes are expressed in a given sample? b. Which genes are differentially expressed between different samples? c. How can one find different classes, or clusters, of genes which are expressed in a correlated fashion across a set of samples? How can one find different classes of samples based on their gene expression behavior?

Obtaining Knowledge of Genes’ Behavior in Genetic Regulatory System by Utilizing Multiagent Collaborative Computation