title: An effective graph-based clustering technique to identify coherent patterns from gene expression data.
abstract: This paper presents an effective parameter-less graph based clustering technique (GCEPD). GCEPD produces highly coherent clusters in terms of various cluster validity measures. The technique finds highly coherent patterns containing genes with high biological relevance. Experiments with real life datasets establish that the method produces clusters that are significantly better than other similar algorithms in terms of various quality measures.
authors.affiliation: Department of Computer Science and Engineering, Tezpur University, Tezpur, India. p.gargi@iitg.ernet.in
authors.forename: G
authors.initials: G
authors.lastname: Priyadarshini
authors.forename: R
authors.initials: R
authors.lastname: Sarmah
authors.forename: B
authors.initials: B
authors.lastname: Chakraborty
authors.forename: D K
authors.initials: DK
authors.lastname: Bhattacharyya
authors.forename: J K
authors.initials: JK
authors.lastname: Kalita
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D030541:Databases, Genetic; D015870:Gene Expression; D020869:Gene Expression Profiling; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods