Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features

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	Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features
	Huang, YA (Huang, Yu-An); You, ZH (You, Zhu-Hong); Li, X (Li, Xiao); Chen, X (Chen, Xing); Hu, PW (Hu, Pengwei); Li, S (Li, Shuai); Luo, X (Luo, Xin)
刊名	NEUROCOMPUTING
	2016
卷号	218 期号:12 页码:131-138
关键词	Protein-protein interaction networks Protein sequence Substitution matrix representation Weighted sparse representation
通讯作者	You, ZH
英文摘要	Protein-protein interactions (PPIs) networks play an important role in most of biological processes. Although much effort has been devoted to using high-throughput biological technologies to identify PPIs of various kinds of organisms, the experimental methods are expensive, time-consuming, and tedious. Therefore, developing computational methods for predicting PPIs is of great significance in this postgenomic era. In recent years, the exponential increase of available protein sequence data leads to the urgent need for sequence-based prediction model. In this paper, we report a highly efficient method for constructing PPIs networks. The main improvements come from a novel protein sequence representation called pseudo-SMR, and from adopting weighted sparse representation based classifier (WSRC). When predicting the PPIs of Yeast, Human and H. pylori datasets, the 5-fold cross-validation accuracies performed by the proposed method achieve as high as 97.09%, 96.71% and 91.15% respectively, significantly better than previous methods. To further evaluate the performance of the proposed method, extensive experiments are performed to compare the proposed method with state-of-the-art Support Vector Machine (SVM) classifier. Promising results obtained show that the proposed method is feasible, robust and powerful.
收录类别	SCI
WOS记录号	WOS:000388053700014
内容类型	期刊论文
源URL	[http://ir.xjipc.cas.cn/handle/365002/4623]
专题	新疆理化技术研究所_多语种信息技术研究室
作者单位	Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China;Shenzhen Univ, Coll Comp Sci & Software Engn, Shenzhen 518060, Guangdong, Peoples R China;Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China;China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R China
推荐引用方式 GB/T 7714	Huang, YA ,You, ZH ,Li, X ,et al. Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features[J]. NEUROCOMPUTING,2016,218(12):131-138.
APA	Huang, YA .,You, ZH .,Li, X .,Chen, X .,Hu, PW .,...&Luo, X .(2016).Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.NEUROCOMPUTING,218(12),131-138.
MLA	Huang, YA ,et al."Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features".NEUROCOMPUTING 218.12(2016):131-138.