文章基本信息

标题：Identifying Protein Structural Classes Using MVP Algorithm
本地全文：下载
作者：Tong Wang ; Xiaoming Hu ; Xiaoxia Cao 等
期刊名称：International Journal of Wireless and Microwave Technologies(IJWMT)
印刷版ISSN：2076-1449
电子版ISSN：2076-9539
出版年度：2012
卷号：2
期号：4
页码：8-12
出版社：MECS Publisher
摘要：A new method for the prediction of protein structural classes is constructed based on MVP (Maximum variance projection) algorithm, which is a manifold learning-based data mining method. DC (Dipeptide Composition) and PseAA (Pseudo Amino Acid) are used as conditional attributes for the construction of decision system. A DR (Dimensionality Reduction) algorithm, the so-called MVP is introduced to reduce the decision system, which can be used to classify new objects. Experimental results thus obtained are quite encouraging, which indicate that the above method is used effectively to deal with this complicated problem of protein structural classes.
关键词：Protein structural classes;MVP;sequence encoding scheme