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HyDRA: gene prioritization via hybrid distance-score rank aggregation
Summary: Gene prioritization refers to a family of computational techniques for inferring disease genes through a set of training genes and carefully chosen similarity criteria. Test genes are scored based on their average similarity to the training set, and the rankings of genes under various similarity criteria are aggregated via statistical methods. The contributions of our work are threefold: (i) first, based on the realization that there is no unique way to define an optimal aggregate for rankings, we investigate the predictive quality of a number of new aggregation methods and known fusion techniques from machine lea...
Source: Bioinformatics - April 2, 2015 Category: Bioinformatics Authors: Kim, M., Farnoud, F., Milenkovic, O. Tags: SYSTEMS BIOLOGY Source Type: research
