Protein Localization by Integrating Multiple Protein Correlation Networks
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چکیده
We explored how integration of different protein-protein correlation (PPC) networks improves the performance of a network based classifier, NetLoc, in predicting protein subcellular localization. We investigated different integration approaches and evaluated their performance. Results showed that integration of different PPC networks improves NetLoc performance ranging from 3% to 49% depending on the base networks for integration and the integration approaches.
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تاریخ انتشار 2012