MedMiner: an Internet text-mining tool for biomedical information, with application to gene expression profiling.

作者: L. Tanabe , U. Scherf , L.H. Smith , J.K. Lee , L. Hunter

DOI: 10.2144/99276BC03

关键词:

摘要: The trend toward high-throughput techniques in molecular biology and the explosion of online scientific data threaten to overwhelm ability researchers take full advantage available information. This problem is particularly severe rapidly expanding area gene expression experiments, for example, those carried out with cDNA microarrays or oligonucleotide chips. We present an Internet-based hypertext program, MedMiner, which filters organizes large amounts textual structured information returned from public search engines like GeneCards PubMed. demonstrate value approach analysis data, but MedMiner can also be extended other areas involving genetic pharmacological More generally still, used organize any arbitrary PubMed search.

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