PAGE: phase-shifted analysis of gene expression

Authors:
Elo Leung;Pierre R. Bushel
Affiliations:
Bioinformatics and Computational Biology, School of Computational Sciences, George Mason University Manassas, VA 20110, USA;National Institute of Environmental Health Sciences, National Center for Toxicogenomics, Microarray Group, Research Triangle Park NC 27709, USA
Venue:
Bioinformatics
Year:
2006

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Abstract

Summary: 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. Availability: PAGE is available at http://dir.niehs.nih.gov/microarray/software/page/ Contact: bushel@niehs.nih.gov Supplementary information: The Supplementary data are available at http://dir.niehs.nih.gov/microarray/software/page/