Identifying biological themes within lists of genes with EASE
Genome biologyPublished 11 September 2003Open access
Douglas A Hosack, Glynn Dennis, Brad T. Sherman, H. Clifford Lane, Richard A. Lempicki
Citations1,958
SJR quartileQ1
SJR score5.71
SNIP2.21
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TL;DR
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 and is robust to varying methods of normalization, intensity calculation and statistical selection of genes.
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'.
Keywords
Biochemistry, Genetics and Molecular Biology
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