Influence of Encoding Scheme on Protein Secondary Structure Prediction

被引：0

作者：

Zou, Dongsheng ^{[1
]}

He, Zhongshi ^{[1
]}

He, Jingyuan ^{[1
]}

Huang, Xiaofeng ^{[1
]}

机构：

[1] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China

来源：

2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年

关键词：

SVM; data encoding; protein secondary structure prediction; Profile encoding;

D O I：

10.1109/WCICA.2008.4593133

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using SVM, five approaches: ENCOrth, ENCFive, ENCCodBas, ENCCodExt and ENCProf are discussed in this paper. The results of data encoding are used as input of SVM. By performing ENCProf approach, the accuracy of Q3 can be improved 19.4%similar to 23.9% more than the other four approaches.

引用

页码：1439 / 1443

页数：5

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