Improving literature based discovery support by genetic knowledge integration Export

@article{14663965, abstract = {We present an interactive literature based biomedical discovery support system (BITOLA). The goal of the system is to discover new, potentially meaningful relations between a given starting concept of interest and other concepts, by mining the bibliographic database Medline. To make the system more suitable for disease candidate gene discovery and to decrease the number of candidate relations, we integrate background knowledge about the chromosomal location of the starting disease as well as the chromosomal location of the candidate genes from resources such as LocusLink, HUGO and OMIM. The BITOLA system can be also used as an alternative way of searching the Medline database. The system is available at http://www.mf.uni-lj.si/bitola/.}, address = {Institute of Biomedical Informatics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. Dimitar.Hristovski@mf.uni-lj.si}, author = {Hristovski, D. and Peterlin, B. and Mitchell, J. A. and Humphrey, S. M.}, citeulike-article-id = {4416063}, citeulike-linkout-0 = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14663965%20}, comment = {0926-9630 Journal Article}, journal = {Stud Health Technol Inform}, keywords = {algorithms, and, chromosome, databases, file-import-09-04-28, fuzzy, genetic, humans, information, logic, mapping, medline, retrieval, storage}, pages = {68--73}, posted-at = {2009-04-28 16:01:52}, priority = {2}, title = {Improving literature based discovery support by genetic knowledge integration}, url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14663965%20}, volume = {95}, year = {2003} }

TY - JOUR ID - 14663965 L3 - citeulike-article-id:4416063 N2 - We present an interactive literature based biomedical discovery support system (BITOLA). The goal of the system is to discover new, potentially meaningful relations between a given starting concept of interest and other concepts, by mining the bibliographic database Medline. To make the system more suitable for disease candidate gene discovery and to decrease the number of candidate relations, we integrate background knowledge about the chromosomal location of the starting disease as well as the chromosomal location of the candidate genes from resources such as LocusLink, HUGO and OMIM. The BITOLA system can be also used as an alternative way of searching the Medline database. The system is available at http://www.mf.uni-lj.si/bitola/. JF - Stud Health Technol Inform AD - Institute of Biomedical Informatics, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia. Dimitar.Hristovski@mf.uni-lj.si EP - 73 TI - Improving literature based discovery support by genetic knowledge integration VL - 95 SP - 68 KW - algorithms KW - and KW - chromosome KW - databases KW - file-import-09-04-28 KW - fuzzy KW - genetic KW - humans KW - information KW - logic KW - mapping KW - medline KW - retrieval KW - storage N1 - 0926-9630 Journal Article AU - Hristovski, D AU - Peterlin, B AU - Mitchell, JA AU - Humphrey, SM PY - 2003/// UR - http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=14663965%20 ER -