In 2001, PubGene founders demonstrated one of the first[1]
applications of text mining to research in biomedicine (i.e., biomedical text mining). They went on to create the PubGene public search engine,[2] exemplifying the approach they pioneered by presenting biomedical terms as graphical networks based on their co-occurrence in MEDLINE texts. The PubGene search engine has since been discontinued and incorporated into a commercial product.[2]Co-occurrence networks provide a visual overview of possible relationships between terms and facilitate medical literature retrieval for relevant sets of articles implied by the network display. Commercial applications of the technology are available.[3]
PubGene provides CoreMine Medical as a service open to the public.
References
↑Tor-Kristian Jenssen; Astrid Lægreid; Jan Komorowski; Eivind Hovig (May 2001). "A literature network of human genes for high-throughput analysis of gene expression". Nature Genetics. 28 (1): 21–28. doi:10.1038/ng0501-21. PMID11326270.
