Sequential Pattern Mining for Protein Function Prediction

被引：0

作者：

Wang, Miao ^{[1
]}

Shang, Xue-qun ^{[1
]}

Li, Zhan-huai ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Engn & Comp Sci, Xian 710072, Peoples R China

来源：

ADVANCED DATA MINING AND APPLICATIONS, PROCEEDINGS | 2008年 / 5139卷

关键词：

protein function prediction; frequent pattern mining; frequent closed pattern; frequent pattern classifier;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The prediction of protein sequence function is one of the problems arising in the recent progress in bioinformatics. Traditional methods have its limits. We present a novel method of protein sequence function prediction based on sequential pattern mining. First, we use our designed sequential pattern mining algorithms to mine known function sequence dataset. Then, we build a classifier using the patterns generated to predict function of protein sequences. Experiments confirm the effectiveness of our method.

引用

页码：652 / 658

页数：7

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