Identifying biological themes within lists of genes with EASE

20031,955 citationsJournal Articlegold Open Access

Authors

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'.

Topics & Keywords

Gene expression and cancer classification Bioinformatics and Genomic Networks Genomics and Phylogenetic Studies

Publication Details

Published in: Genome biology

Volume 4, Issue 10, pp. R70-R70

DOI: 10.1186/gb-2003-4-10-r70

Field-Weighted Citation Impact: 52.21

Command Palette

Identifying biological themes within lists of genes with EASE

Authors

Abstract

Topics & Keywords

Publication Details