title: GeneRanker: An Online System for Predicting Gene-Disease Associations for Translational Research.
abstract: With the overwhelming volume of genomic and molecular information available on many databases nowadays, researchers need from bioinformaticians more than encouragement to refine their searches. We present here GeneRanker, an online system that allows researchers to obtain a ranked list of genes potentially related to a specific disease or biological process by combining gene-disease (or genebiological process) associations with protein-protein interactions extracted from the literature, using computational analysis of the protein network topology to more accurately rank the predicted associations. GeneRanker was evaluated in the context of brain cancer research, and is freely available online at http://www.generanker.org.
authors.affiliation: Arizona State University, Tempe, AZ;
authors.forename: Graciela
authors.initials: G
authors.lastname: Gonzalez
authors.forename: Juan C
authors.initials: JC
authors.lastname: Uribe
authors.forename: Brock
authors.initials: B
authors.lastname: Armstrong
authors.forename: Wendy
authors.initials: W
authors.lastname: McDonough
authors.forename: Michael E
authors.initials: ME
authors.lastname: Berens