Constructing gene network based on biclusters of expression data
Abstract
Two genes can be co-regulated and possibly have the similar function if they are similarly expressed, which provides a theoretical basis for construction of gene regulatory networks using gene expression data. Herein, a new method of gene regulatory network was constructed based on biclusters in this paper. Given a bicluster, this paper analyzes the correlation between genes in the clusters and then constructs the gene regulatory network by selecting genes with a correlation coefficient.
Two genes can be co-regulated and possibly have the similar function if they are similarly expressed, which provides a theoretical basis for construction of gene regulatory networks using gene expression data. Herein, a new method of gene regulatory network was constructed based on biclusters in this paper. Given a bicluster, this paper analyzes the correlation between genes in the clusters and then constructs the gene regulatory network by selecting genes with a correlation coefficient.