Highly Efficient Framework for Predicting Interactions Between Proteins
文献类型：期刊论文
| 作者 | You, ZH (You, Zhu-Hong) ; Zhou, MC (Zhou, MengChu); Luo, X (Luo, Xin); Li, S (Li, Shuai)
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| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
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| 出版日期 | 2017 |
| 卷号 | 47期号:3页码:731-743 |
| 关键词 | Big data feature extraction kernel extreme learning machine (K-ELM) low-rank approximation (LRA) protein-protein interactions (PPIs) support vector machine (SVM) |
| 英文摘要 | Protein-protein interactions (PPIs) play a central role in many biological processes. Although a large amount of human PPI data has been generated by high-throughput experimental techniques, they are very limited compared to the estimated 130 000 protein interactions in humans. Hence, automatic methods for human PPI-detection are highly desired. This work proposes a novel framework, i. e., Low-rank approximationkernel Extreme Learning Machine (LELM), for detecting human PPI from a protein's primary sequences automatically. It has three main steps: 1) mapping each protein sequence into a matrix built on all kinds of adjacent amino acids; 2) applying the low-rank approximation model to the obtained matrix to solve its lowest rank representation, which reflects its true subspace structures; and 3) utilizing a powerful kernel extreme learning machine to predict the probability for PPI based on this lowest rank representation. Experimental results on a large-scale human PPI dataset demonstrate that the proposed LELM has significant advantages in accuracy and efficiency over the state-of-art approaches. Hence, this work establishes a new and effective way for the automatic detection of PPI. |
| 收录类别 | SCI |
| WOS记录号 | WOS:000396395400016 |
| 源URL | [http://ir.xjipc.cas.cn/handle/365002/4743]  |
| 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 | 1.Chinese Acad Sci, Xinjiang Tech Inst Phys & Chem, Urumqi 830011, Peoples R China 2.Macau Univ Sci & Technol, Inst Syst Engn, Macau 999078, Peoples R China 3.New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA 4.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 5.Hong Kong Polytech Univ, Dept Comp, Hong Kong 999077, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | You, ZH ,Zhou, MC ,Luo, X ,et al. Highly Efficient Framework for Predicting Interactions Between Proteins[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(3):731-743. |
| APA | You, ZH ,Zhou, MC ,Luo, X ,&Li, S .(2017).Highly Efficient Framework for Predicting Interactions Between Proteins.IEEE TRANSACTIONS ON CYBERNETICS,47(3),731-743. |
| MLA | You, ZH ,et al."Highly Efficient Framework for Predicting Interactions Between Proteins".IEEE TRANSACTIONS ON CYBERNETICS 47.3(2017):731-743. |
入库方式： OAI收割
来源：新疆理化技术研究所
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