1 |
LingPipe: Named entity tutorial. (2013, July 1). Retrieved from http://alias-i.com/lingpipe/demos/tutorial/ne/read-me.html/
|
2 |
LingPipe: Sentence boundary detection. (2013, July 1). Retrieved from http://alias-i.com/lingpipe/demos/tutorial/sentences/read-me.html/
|
3 |
MEDLINE, PubMed XML element descriptions and their attributes. (2013, October 10). Retrieved from http://www.nlm.nih.gov/bsd/licensee/elements_descriptions.html/
|
4 |
Narayanasamy, V., Mukhopadhyay, S., Palakal, M., & Potter, D. A. (2004). TransMiner: Mining transitive associations among biological objects from text. Journal of Biomedical Science, 11(6), 864-873.
DOI
|
5 |
Smalheiser, N. R., & Swanson, D. R. (1996a). Indomethacin and Alzheimer's disease. Neurology, 46(2), 583-583.
|
6 |
NegEx (2013, December 1). Retrieved from http://code.google.com/p/negex/
|
7 |
PubMed (2013, August 2). Retrieved from http://www.ncbi.nlm.nih.gov/pubmed/
|
8 |
Smalheiser, N. R., & Swanson, D. R. (1994). Assessing a gap in the biomedical literature: Magnesium deficiency and neurologic disease. Neuroscience Research Communications, 15(1), 1-9.
|
9 |
Smalheiser, N. R., & Swanson, D. R. (1996b). Linking estrogen to Alzheimer's disease: An informatics approach. Neurology, 47(3), 809-810.
DOI
ScienceOn
|
10 |
Srinivasan, P. (2004). Text mining: Generating hypotheses from MEDLINE. Journal of the American Society for Information Science and Technology, 55(5), 396-413.
DOI
ScienceOn
|
11 |
Weeber, M., Klein, H., de Jong-van den Berg, L., & Vos, R. (2001). Using concepts in literaturebased discovery: Simulating Swanson's Raynaud-fish oil and migraine-magnesium discoveries. Journal of the American Society for Information Science and Technology, 52(7), 548-557.
DOI
|
12 |
Weeber, M., Vos, R., Klein, H., Aronson, A. R., & Molema, G. (2003). Generating hypotheses by discovering implicit associations in the literature: a case report of a search for new potential therapeutic uses for thalidomide. Journal of the American Medical Informatics Association, 10(3), 252-259.
DOI
|
13 |
Wilkowski, B., Fiszman, M., Miller, C., Hristovski, D., Arabandi, S., Rosemblat, G., & Rindflesch, T. (2011). Discovery browsing with semantic predications and graph theory. In AMIA Annual Symposium Proceedings.
|
14 |
Automatic Classification for English Verbs. (2013, July 1). Retrieved from http://www.cl.cam.ac.uk/-ls418/resource_release/
|
15 |
Cameron, D., Bodenreider, O., Yalamanchili, H., Danh, T., Vallabhaneni, S., Thirunarayan, K., Sheth, A. P., & Rindflesch, T. C. (2013). A graph-based recovery and decomposition of swanson's hypothesis using semantic predications. Journal of Biomedical Informatics, 46(2), 238-251.
DOI
ScienceOn
|
16 |
DiGiacomo, R. A., Kremer, J. M., & Shah, D. M. (1989). Fish oil dietary supplementation in patients with Raynaud's phenomenon: A doubleblind, controlled, prospective study. American Journal of Medicine, 8, 158-164.
|
17 |
Hristovski, D., Friedman, C., Rindflesch, T. C., & Peterlin, B. (2006). Exploiting semantic relations for literature-based discovery. In AMIA Annual Symposium Proceedings, 349-353. American Medical Informatics Association.
|
18 |
Frijters, R., Heupers, B., van Beek, P., Bouwhuis, M., van Schaik, R., de Vlieg, J., Polman, J., & Alkema, W. (2008). CoPub: a literature-based keyword enrichment tool for microarray data analysis. Nucleic Acids Research, 36(suppl 2), W406-W410.
DOI
ScienceOn
|
19 |
Hristovski, D., Rindflesch, T., & Peterlin, B. (2013). Using literature-based discovery to identify novel therapeutic approaches. Cardiovascular and Hematological Agents in Medicinal Chemistry, 11(1), 14-24.
DOI
|
20 |
Frijters, R., van Vugt, M., Smeets, R., van Schaik, R., de Vlieg, J., & Alkema, W. (2010). Literature mining for the discovery of hidden connections between drugs, genes and diseases. PLoS Computational Biology, 6(9), 1-11. e1000943.
|
21 |
Hristovski, D., Peterlin, B., Mitchell, J. A., & Humphrey, S. M. (2005). Using literature-based discovery to identify disease candidate genes. International Journal of Medical Informatics, 74(2), 289-298.
DOI
|
22 |
Kim, J. D., Ohta, T., Tateisi, Y., & Tsujii, J. (2003). GENIA corpus-a semantically annotated corpus for bio-textmining. Bioinformatics, 19(1), 180-182.
DOI
ScienceOn
|
23 |
Lafferty, J., McCallum, A., & Pereira, F. C. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, 282-289.
|
24 |
Liekens, A. M., De Knijf, J., Daelemans, W., Goethals, B., De Rijk, P., & Del-Favero, J. (2011). BioGraph: unsupervised biomedical knowledge discovery via automated hypothesis generation. Genome Biology, 12(6), R57.
DOI
|
25 |
Swanson, D. R. (1988). Migraine and magnesium: Eleven neglected connections. Perspectives in Biology and Medicine, 31(4), 526-557.
DOI
|
26 |
Sun, L., & Korhonen, A. (2009). Improving verb clustering with automatically acquired selectional preferences. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2, 638-647. Association for Computational Linguistics.
|
27 |
Swanson, D. R. (1986a). Undiscovered public knowledge. The Library Quarterly, 56(2), 103-118.
DOI
|
28 |
Swanson, D. R. (1986b). Fish oil, Raynaud's syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, 30(1), 7-18.
DOI
|
29 |
Swanson, D. R. (1990a). Somatomedin C and arginine: Implicit connections between mutually isolated literatures. Perspectives in Biology and Medicine, 33(2), 157-186.
DOI
|
30 |
Swanson, D. R., & Smalheiser, N. R. (1997). An interactive system for finding complementary literatures: A stimulus to scientific discovery. Artificial Intelligence, 91(2), 183-203.
DOI
ScienceOn
|
31 |
Swanson, D. R., Smalheiser, N. R., & Bookstein, A. (2001). Information discovery from complementary literatures: Categorizing viruses as potential weapons. Journal of the American Society for Information Science and Technology, 52(10), 797-812.
DOI
ScienceOn
|
32 |
Swanson, D. R., Smalheiser, N. R., & Torvik, V. I. (2006). Ranking indirect connections in literature-based discovery: The role of medical subject headings. Journal of the American Society for Information Science and Technology, 57(11), 1427-1439.
DOI
ScienceOn
|
33 |
UMLS Reference Manual. (2013, October 10). Retrieved from http://www.ncbi.nlm.nih.gov/books/NBK9676/
|
34 |
Kilicoglu, H., Shin, D., Fiszman, M., Rosemblat, G., & Rindflesch, T. C. (2012). SemMedDB: a PubMed-scale repository of biomedical semantic predications. Bioinformatics, 28(23), 3158-3160.
DOI
ScienceOn
|