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

@article{citeulike:139976, abstract = {The trend toward high-throughput techniques in molecular biology and the explosion of online scientific data threaten to overwhelm the ability of researchers to take full advantage of available information. This problem is particularly severe in the rapidly expanding area of gene expression experiments, for example, those carried out with cDNA microarrays or oligonucleotide chips. We present an Internet-based hypertext program, MedMiner, which filters and organizes large amounts of textual and structured information returned from public search engines like GeneCards and PubMed. We demonstrate the value of the approach for the analysis of gene expression data, but MedMiner can also be extended to other areas involving molecular genetic or pharmacological information. More generally still, MedMiner can be used to organize the information returned from any arbitrary PubMed search.}, address = {National Institutes of Health, Bethesda, MD, USA. ltanaben@molstat.nci.nih.gov}, author = {Tanabe, L. and Scherf, U. and Smith, L. H. and Lee, J. K. and Hunter, L. and Weinstein, J. N. }, citeulike-article-id = {139976}, issn = {0736-6205}, journal = {Biotechniques}, keywords = {clustering}, month = {December}, number = {6}, posted-at = {2006-01-04 06:01:11}, priority = {2}, title = {MedMiner: an Internet text-mining tool for biomedical information, with application to gene expression profiling.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/10631500}, volume = {27}, year = {1999} }

TY - JOUR ID - citeulike:139976 L3 - citeulike-article-id:139976 TI - MedMiner: an Internet text-mining tool for biomedical information, with application to gene expression profiling. JF - Biotechniques VL - 27 IS - 6 AD - National Institutes of Health, Bethesda, MD, USA. ltanaben@molstat.nci.nih.gov SN - 0736-6205 N2 - The trend toward high-throughput techniques in molecular biology and the explosion of online scientific data threaten to overwhelm the ability of researchers to take full advantage of available information. This problem is particularly severe in the rapidly expanding area of gene expression experiments, for example, those carried out with cDNA microarrays or oligonucleotide chips. We present an Internet-based hypertext program, MedMiner, which filters and organizes large amounts of textual and structured information returned from public search engines like GeneCards and PubMed. We demonstrate the value of the approach for the analysis of gene expression data, but MedMiner can also be extended to other areas involving molecular genetic or pharmacological information. More generally still, MedMiner can be used to organize the information returned from any arbitrary PubMed search. KW - clustering AU - Tanabe, L AU - Scherf, U AU - Smith, LH AU - Lee, JK AU - Hunter, L AU - Weinstein, JN PY - 1999/12// UR - http://view.ncbi.nlm.nih.gov/pubmed/10631500 ER -