Discovering implicit associations between genes and hereditary diseases

Pacific Symposium on Biocomputing 2007, PSB 2007

Volumn , Issue , 2007, Pages 316-327

  Seki, Kazuhiro ^a   Mostafa, Javed ^b  

^a KOBE UNIVERSITY   (Japan)

^b INDIANA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATA; DATA SPARSENESS; DOMAIN ONTOLOGIES; FREE TEXTS; FULL-TEXT DOCUMENTS; GENE FUNCTION; INFERENCE NETWORK; INTERMEDIATE NODE; LEARNING SCHEMES; REAL WORLD DATA;

GENES;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; FACTUAL DATABASE; GENETIC DISORDER; GENETICS; HUMAN; MEDLINE; PHENOTYPE; PROBABILITY; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; GENETIC DISEASES, INBORN; HUMANS; MEDLINE; MODELS, GENETIC; MODELS, STATISTICAL; PHENOTYPE; PROBABILITY;

EID: 36349015677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. M. A. Hearst. Untangling text data mining. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 3-10, 1999.
2. D.R. Swanson. Fish oil, Raynaud's syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine, 30(1):7-18, 1986.
3. P. Srinivasan. Text mining: generating hypotheses from MEDLINE. Journal of the American Society for Information Science and Technology, 55(5):396-413, 2004.
4. M. Weeber, R. Vos, H. Klein, L. Berg, R. Aronson, and G. Molema. 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, 2003.
5. H. Turtle and W.B. Croft. Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems, 9(3):187-222, 1991.
6. C. Perez-Iratxeta, M. Wjst, P. Bork, and M. Andrade. G2D: a tool for mining genes associated with disease. BMC Genetics, 6(1):45, 2005.
7. M.J. Schuemie, M. Weeber, B.J.A. Schijvenaars, E.M. van Mulligen, C.C. van der Eijk, R. Jelier, B. Mons, and J.A. Kors. Distribution of information in biomedical abstracts and full-text publications. Bioinformatics, 20(16):2597-2604, 2004.
8. T Fawcett. ROC graphs: Notes and practical considerations for researchers. Technical Report HPL-2003-4, HP Laboratories, 2004.
9. W. Hersh, R.T. Bhuptiraju, L. Ross, A.M. Cohen, and D.F. Kraemer. TREC 2004 genomics track overview. In Proceedings of the 13th Text REtrieval Conference, 2004.
10. P.W. Lord, R.D. Stevens, A. Brass, and C.A. Goble. Semantic similarity measures as tools for exploring the gene ontology. Pacific Symposium on Biocomputing, S t o l e n, 2003.