article Open AccessTop 1% cited
Identifying biological themes within lists of genes with EASE
Genome biology · 2003 · Vol. 4(10) · pp. R70–R70
Douglas A Hosack✉(Organogenesis (United States))Glynn Dennis(Science Applications International Corporation (United States))Brad T. Sherman(Organogenesis (United States))H. Clifford Lane(National Institutes of Health)Richard A. Lempicki(Science Applications International Corporation (United States))
Abstract
EASE is a customizable software application for rapid biological interpretation of gene lists that result from the analysis of microarray, proteomics, SAGE and other high-throughput genomic data. The biological themes returned by EASE recapitulate manually determined themes in previously published gene lists and are robust to varying methods of normalization, intensity calculation and statistical selection of genes. EASE is a powerful tool for rapidly converting the results of functional genomics studies from 'genes' to 'themes'.
Gene expression and cancer classificationBioinformatics and Genomic NetworksGenomics and Phylogenetic StudiesBiologyComputational biologyGenomicsHuman geneticsGene selectionNormalization (sociology)ProteomicsDNA microarrayGeneFunctional genomics
MeSH terms
GenesSoftwareComputational BiologyInternetOligonucleotide Array Sequence AnalysisGenomicsDatabases, GeneticProteomics
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