title: PAGE: phase-shifted analysis of gene expression.
abstract: Grouping of gene expression patterns across biological experiments, treatments and time-series data is performed in q-intervals of measurements using phase-shifted analysis of gene expression (PAGE); a Java-based tool to find clusters of genes that share trends of expression profiles within the dataset. The patterns and genes within q-Clusters are visualized in trend plots and compared to determine biological relevance from the gene annotations.
authors.affiliation: Bioinformatics and Computational Biology, School of Computational Sciences, George Mason University, Manassas, VA 20110, USA.
authors.forename: Elo
authors.initials: E
authors.lastname: Leung
authors.forename: Pierre R
authors.initials: PR
authors.lastname: Bushel
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D016000:Cluster Analysis; D003196:Computer Graphics; D020869:Gene Expression Profiling / Q000379:methods*; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods; D012984:Software; D014584:User-Computer Interface