|Eirik Næss-Ulseth (CEO)|
In 2001, PubGene founders demonstrated one of the first applications of text mining to research in biomedicine (i.e., biomedical text mining). They went on to create the PubGene public search engine, exemplifying the approach they pioneered by presenting biomedical terms as graphical networks based on their co-occurrence in MEDLINE texts. 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.
Original development of PubGene technologies was undertaken in collaboration between the Norwegian Cancer Hospital (Radiumhospitalet) and the Norwegian University of Science and Technology. The work is supported by the Research Council of Norway and commercialization assisted by Innovation Norway.
- 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. PMID 11326270.
- Browse literature or sequence neighbours
- PubGene - Find connections, speed discovery