AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs
Abstract
Diffusion-based network models are widely used for protein function prediction using protein network data and have been shown to outperform neighborhood-based and module-based methods. Recent studies have shown that integrating the hierarchical structure of the Gene Ontology (GO) data dramatically improves prediction accuracy. However, previous methods usually either used the GO hierarchy to refine the prediction results of multiple classifiers,...
Paper Details
Title
AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs
Published Date
Feb 14, 2017
Journal
Volume
33
Issue
12
Pages
1829 - 1836
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