Title :
A literature based method for identifying gene-disease connections
Author :
Adamic, Lada A. ; Wilkinson, Dennis ; Huberman, Bernardo A. ; Adar, Eytan
Author_Institution :
HP Labs., Palo Alto, CA, USA
Abstract :
We present a statistical method that can swiftly identify, from the literature, sets of genes known to be associated with given diseases. It offers a comprehensive way to treat alias symbols, a statistical method for computing the relevance of the gene to the query, and a novel way to disambiguate gene symbols from other abbreviations. The method is illustrated by finding genes related to breast cancer.
Keywords :
content-based retrieval; medical computing; relevance feedback; statistical analysis; alias symbols; breast cancer; gene symbols disambiguation; gene-disease connection identification; literature based method; relevance computation; statistical method; Breast cancer; Data mining; Databases; Diseases; Error analysis; Frequency; Humans; Laboratories; Statistical analysis; Testing;
Conference_Titel :
Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society
Print_ISBN :
0-7695-1653-X
DOI :
10.1109/CSB.2002.1039334
