title: Extraction of Conditional Probabilities of the Relationships Between Drugs, Diseases, and Genes from PubMed Guided by Relationships in PharmGKB.
abstract: Guided by curated associations between genes, treatments (i.e., drugs), and diseases in pharmGKB, we constructed n-way Bayesian networks based on conditional probability tables (cpt's) extracted from co-occurrence statistics over the entire Pubmed corpus, producing a broad-coverage analysis of the relationships between these biological entities. The networks suggest hypotheses regarding drug mechanisms, treatment biomarkers, and/or potential markers of genetic disease. The cpt's enable Trio, an inferential database, to query indirect (inferred) relationships via an SQL-like query language.
authors.affiliation: Departments of Computer Science.
authors.forename: Martin
authors.initials: M
authors.lastname: Theobald
authors.forename: Nigam
authors.initials: N
authors.lastname: Shah
authors.forename: Jeff
authors.initials: J
authors.lastname: Shrager