GEA: a Toolkit for Gene Expression Analysis
Summary: GEA: a toolkit for gene expression analysis enabling integrated mining and analysis of expression data across biological databases. It supports search and retrieval on auxiliary resources (SWISSPROT, PFAM, PUBMED), illustrating a data-management approach for cross-database genomics research. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jessica M. Phan (University of British Columbia)
- 2. Raymond Ng (University of British Columbia)
BibTeX Citation
@inproceedings{phan_sigmod02,
title = {{GEA: a Toolkit for Gene Expression Analysis}},
author = {Phan, Jessica M. and Ng, Raymond},
series = {{SIGMOD} '02},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/564691.564783},
url = {https://dl.acm.org/doi/10.1145/564691.564783},
year = {2002}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,921 | The 3W Model and Algebra for Unified Data Mining | 2000 | VLDB | 6.0233948e-05 |
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