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
收藏
页码：179 / 186
页数：8
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