%0 Journal Article
	%A Hiba Hasan and  Khalid Raza
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 65, 2012
	%T Clustering Approach to Unveiling Relationships between Gene Regulatory Networks
	%U https://publications.waset.org/pdf/16904
	%V 65
	%X Reverse engineering of genetic regulatory network involves the modeling of the given gene expression data into a form of the network. Computationally it is possible to have the relationships between genes, so called gene regulatory networks (GRNs), that can help to find the genomics and proteomics based diagnostic approach for any disease. In this paper, clustering based method has been used to reconstruct genetic regulatory network from time series gene expression data. Supercoiled data set from Escherichia coli has been taken to demonstrate the proposed method.

	%P 739 - 742