Binary Classification using Decision Tree based Genetic Programming and Its Application to Analysis of Bio-mass Data

被引：0

作者：

To, Cuong ^{[1
]}

Pham, Tuan D. ^{[1
]}

机构：

[1] Univ New S Wales, ADFA Sch Informat Technol & Elect Engn, Canberra, ACT 2600, Australia

来源：

2009 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL MODELS FOR LIFE SCIENCES (CMLS '09) | 2010年 / 1210卷

关键词：

Genetic Programming; Decision Tree; Binary Classification;

D O I：

暂无

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In machine learning, pattern recognition may be the most popular task. "Similar" patterns identification is also very important in biology because first, it is useful for prediction of patterns associated with disease, for example cancer tissue (normal or tumor); second, similarity or dissimilarity of the kinetic patterns is used to identify coordinately controlled genes or proteins involved in the same regulatory process. Third, similar genes (proteins) share similar functions. In this paper, we present an algorithm which uses genetic programming to create decision tree for binary classification problem. The application of the algorithm was implemented on five real biological databases. Base on the results of comparisons with well-known methods, we see that the algorithm is outstanding in most of cases.

引用

页码：103 / 109

页数：7

共 28 条

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