title: 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.
authors.affiliation: International Software School, Wuhan University, Wuhan, Hubei, China.
authors.forename: F
authors.initials: F
authors.lastname: Liu
authors.affiliation: International Software School, Wuhan University, Wuhan, Hubei, China.
authors.forename: L
authors.initials: L
authors.lastname: Yang
authors.affiliation: International Software School, Wuhan University, Wuhan, Hubei, China.
authors.forename: Z Z
authors.initials: ZZ
authors.lastname: Tian
authors.affiliation: Department of Oncology, Xiangyang Central Hospital, Hubei, China.
authors.forename: P
authors.initials: P
authors.lastname: Wu
authors.affiliation: International Software School, Wuhan University, Wuhan, Hubei, China.
authors.forename: S L
authors.initials: SL
authors.lastname: Sun
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods*; D053263:Gene Regulatory Networks; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods