A literature based method for identifying gene-disease connections

Lada A Adamic; Dennis Wilkinson; Bernardo A Huberman; Eytan Adar

A literature based method for identifying gene-disease connections

Proc IEEE Comput Soc Bioinform Conf. 2002:1:109-17.

Authors

Lada A Adamic¹, Dennis Wilkinson, Bernardo A Huberman, Eytan Adar

Affiliation

¹ HP Laboratories, HP, Palo Alto, CA, 94304, USA. ladamic@hpl.hp.com

PMID: 15838128

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.

Publication types

Evaluation Study

MeSH terms

Abstracting and Indexing
Animals
Database Management Systems
Databases, Genetic*
Gene Expression Profiling / methods*
Genetic Markers / genetics*
Genetic Predisposition to Disease / classification
Genetic Predisposition to Disease / genetics*
Genetic Testing / methods
Humans
Information Storage and Retrieval / methods*
Natural Language Processing*
Periodicals as Topic*
Vocabulary, Controlled

Substances

Genetic Markers