TriGen: A genetic algorithm to mine triclusters in temporal gene expression data

摘要: Analyzing microarray data represents a computational challenge due to the characteristics of these data. Clustering techniques are widely applied create groups genes that exhibit similar behavior under conditions tested. Biclustering emerges as an improvement classical clustering since it relaxes constraints for grouping be evaluated only subset and not all them. However, this technique is appropriate analysis longitudinal experiments in which certain at several time points. We present TriGen algorithm, genetic algorithm finds triclusters gene expression take into account experimental points simultaneously. have used mine datasets related synthetic data, yeast (Saccharomyces cerevisiae) cell cycle human inflammation host response injury experiments. has proved capable extracting with patterns subsets times, shown terms their functional annotations extracted from Gene Ontology.