is a software tool 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 be resulted with better gene clusters in comparison to biclustering on single-organism data. The TriClust software is publicly available as a standalone program.
Citation: D.Dede, H.Oğul, (2014), TriClust: A tool for
cross-species analysis of gene regulation,
Molecular Informatics 33, 382 – 387.