Dynamic Resource Allocation of Relay Routing Nodes and Similarity Measures for different Routing Protocols
Keywords:
SITAR, Anatomical, Therapeutic and Chemical, AUPR, SVM, KRMAbstract
Understanding relay nodes and their modes of action is a fundamental challenge in systems medicine. Key to addressing this challenge is the elucidation of nodes targets, an important step in the search for new relay nodes or novel targets for existing relay nodes. Incorporating multiple biological information sources is of essence for improving the accuracy of nodes target prediction. In this article, we introduce a novel framework-Similarity-based Inference of nodes-TARgets (SITAR) -for incorporating multiple nodes-nodes and gene-gene similarity measures for nodes target prediction. The framework consists of a new scoring scheme for nodes-gene associations based on a given pair of nodes-nodes and gene-gene similarity measures, combined with a logistic regression component that integrates the scores of multiple measures to yield the final association score. We apply our framework to predict targets for hundreds of relay nodes using both commonly used and novel nodes-nodes and gene-gene similarity measures and compare our results to existing state of the art methods, markedly outperforming them.
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