Tools to automatically summarize functional gene group information from the biomedical literature will help genomics researchers both better interpret gene expression data and understand biological pathways. In this study, we built a system that takes in a set of genes and MEDLINE records and outputs clusters of genes along with summaries of each cluster by sentence extraction from MEDLINE abstracts. Our preliminary use-case evaluation shows that this approach can identify gene clusters similar to manually generated groupings.
|Original language||English (US)|
|Number of pages||1|
|Journal||AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium|
|State||Published - 2006|
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