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Jiang Qiangrong
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Graph Kernels and Applications in Protein Classification Jiang Qiangrong; Xiong Zhikang; Zhai Can
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7501-7508

Abstract

Protein classification is a well established research field concerned with the discovery of molecule’s properties through informa­tional techniques. Graph-based kernels provide a nice framework combining machine learning techniques with graph theory. In this paper we introduce a novel graph kernel method for an­notating functional residues in protein structures. A structure­ is first modeled as a protein contact graph, where nodes ­corres­pond to residues and edges connect spatially neighboring resi­dues. In experiments on classification of graph models of proteins, the method based on Weisfeiler-Lehman shortest path kernel with complement graphs outperformed other state-of-art methods.
Co-Authors Xiong Zhikang Zhai Can