title: TriClust: A Tool for Cross-Species Analysis of Gene Regulation.
abstract: We present a software tool, called TriClust, for multi-way analysis of gene expression data from paired conditions of multiple organisms. The analysis is based on a new concept called triclustering, which is an extension of biclustering over a third dimension that represents the organism where the microarray experiment is performed. TriClust provides a comprehensive analysis of co-regulated genes under a subset of experimental conditions over multiple organisms. The results are visualized using heat-maps and the Gene Ontology (GO) term enrichment statistics. The experimental results indicate that TriClust can successfully identify biologically significant triclusters and promote a useful tool for cross species analysis of gene regulation from microarray expression data. The statistical results suggest that, when available, triclustering on multi-organism data can result in better gene clusters in comparison to biclustering on single-organism data. The TriClust software is publicly available as a standalone program.
authors.affiliation: Department of Computer Engineering, Başkent University, Bağlıca Campus, Eskişehir yolu, Etimesgut/Ankara, Turkey phone: +90 312 246 66 66. ddede@baskent.edu.tr, hogul@baskent.edu.tr.
authors.forename: Duygu
authors.initials: D
authors.lastname: Dede
authors.affiliation: Department of Computer Engineering, Başkent University, Bağlıca Campus, Eskişehir yolu, Etimesgut/Ankara, Turkey phone: +90 312 246 66 66.
authors.forename: Hasan
authors.initials: H
authors.lastname: Oğul
keywords: Biclustering; Biological data analysis.; Multi-source; Multi-way analysis; Simultaneous clustering; Three-way clustering; Triclustering