Identifying biological themes within lists of genes with EASE View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2003-10

AUTHORS

Douglas A Hosack, Glynn Dennis, Brad T Sherman, H Clifford Lane, Richard A Lempicki

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'. More... »

PAGES

r70

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/gb-2003-4-10-r70

DOI

http://dx.doi.org/10.1186/gb-2003-4-10-r70

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001293245

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/14519205


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