A generalized output-coding scheme with SVM for multiclass microarray classification

被引：2

作者：

Shen, L ^{[1
]}

Tan, EC ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore

来源：

Proceedings of the 4th Asia-Pacific Bioinformatics Conference | 2006年 / 3卷

关键词：

D O I：

10.1142/9781860947292_0021

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Multiclass cancer classification based on microarray data is described. A generalized output-coding scheme combined with binary classifiers is used. Different coding strategies, decoding functions and feature selection methods are combined and validated on two cancer datasets: GCM and ALL. The effects of these different methods and their combinations are then discussed. The highest testing accuracies achieved are 78% and 100% for the two datasets respectively. The results are considered to be very good when compared with the other researchers' work.

引用

页码：179 / 186

页数：8

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