The prediction of membrane protein types with NPE

IEICE Electronics Express

Lipeng Wang²  Zhifang Zhou¹  Xuhui Chen²  Zhanting Yuan² 

[1] College of Petrochemical Technology, Lanzhou University of Technology;College of Electrical and Information Engineering Lanzhou University of Technology

关键词: NPE;    membrane protein;    dimensionality reduction;   

DOI  :  10.1587/elex.7.397

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(6)Cited-By(6)The first step in membrane protein type prediction is how to represent the sample of a protein. In this work, a protein can be represented by a high-dimension feature vector by using the DC (Dipeptide Composition) method. This extremely high dimensionality of the protein data may increase the computing time and classifier complexity. Thus, a linear dimensionality reduction algorithm NPE (Neighborhood Preserving Embedding) is introduced to extract the indispensable features from the high-dimensional DC space. Based on the reduced low-dimensional features, K-NN (K-nearest neighbor) classifier is introduced to identify the types of membrane proteins. Finally, a very encouraging experimental result is obtained.

【 授权许可】

Unknown