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Cited by 272

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Identifying biological themes within lists of genes with EASE

Open access
Hosack, Douglas A, Dennis, Glynn, Sherman, Brad T, Lane, H Clifford, Lempicki, Richard A·2003·Genome Biology

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."

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Crossref · 10.1186/gb-2003-4-6-p4

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Metadata

Authors
Hosack, D. A., Dennis, G., Sherman, B. T., Lane, H. C., & Lempicki, R. A.
Venue
Genome Biology
Published
2003-04-25
Volume
4
Issue
6
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W4232903880
Cited by
272
References
1
FWCI
6.54
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Identifying biological themes within lists of genes with EASE. https://app.cochat.ai/papers/10.1186/gb-2003-4-6-p4
The paper
Hosack, D. A., Dennis, G., Sherman, B. T., Lane, H. C., & Lempicki, R. A. (2003). Identifying biological themes within lists of genes with EASE. Genome Biology. https://doi.org/10.1186/gb-2003-4-6-p4

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.