PCA and KPCA for Predicting Membrane Protein Types

doi:10.1109/GCIS.2009.248

CORC > 兰州理工大学 > 兰州理工大学 > 石油化工学院

	PCA and KPCA for Predicting Membrane Protein Types
	Wang, Li-Peng 1; Yuan, Zhan-Ting 1; Chen, Xu-Hui 1; Zhou, Zhi-Fang 2
	2009
关键词	PCA KPCA DC
DOI	10.1109/GCIS.2009.248
页码	175-+
英文摘要	Knowing type of an uncharacterized membrane protein often provides a useful clue in both basic research and drug discovery. With the explosion of protein sequences generated in the post genomic era, determination of membrane proteins types by experimental methods is expensive and time consuming. It therefore becomes important to develop an automated method to find the possible type of membrane protein. In view of this, the DC (Dipeptide Composition) is introduced to represent the protein sample. However, a high dimensional disaster may be caused by using this representation method. Thus, a linear dimensionality reduction algorithm PCA (Principle component analysis) and a nonlinear dimensionality reduction algorithm KPCA (Kernel Principle component analysis) are introduced to extract the indispensable features from the high-dimensional DC space, respectively. Based on the reduced low-dimensional features, K-NN (K-nearest neighbor) classifier is introduced to identify the types of membrane proteins. Finally, experiment results show that using the proposed method to cope with prediction of membrane proteins types are very effective.
会议录	PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL II
会议录出版者	IEEE COMPUTER SOC
会议录出版地	10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA
语种	英语
资助项目	National Natural Science Foundation of Gansu[3zs062-b25-037]
WOS研究方向	Computer Science ; Engineering
WOS记录号	WOS:000275817000033
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/37751]
专题	石油化工学院电气工程与信息工程学院
通讯作者	Wang, Li-Peng
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China 2.Lanzhou Univ Technol, Coll Petrochem Technol, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Wang, Li-Peng,Yuan, Zhan-Ting,Chen, Xu-Hui,et al. PCA and KPCA for Predicting Membrane Protein Types[C]. 见:.