The Goodman-Kruskal coefficient and its applications in genetic diagnosis of cancer

被引：7

作者：

Jaroszewicz, S ^{[1
]}

Simovici, DA

Kuo, WP

Ohno-Machado, L

机构：

[1] Univ Massachusetts, Dept Comp Sci, Boston, MA 02125 USA

[2] Brigham & Womens Hosp, Decis Syst Grp, Boston, MA 02115 USA

[3] Harvard Univ, MIT, Div Hlth Sci & Technol, Cambridge, MA 02139 USA

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2004年 / 51卷 / 07期

关键词：

Bonferroni correction; classification; gene expression; predictors;

D O I：

10.1109/TBME.2004.827267

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Increasing interest in new pattern recognition methods has been motivated by bioinformatics research. The analysis of gene expression data originated from microarrays constitutes an important application area for classification algorithms and illustrates the need for identifying important predictors. We show that the Goodman-Kruskal coefficient can be used for constructing minimal classifiers for tabular data, and we give an algorithm that can construct such classifiers.

引用

页码：1095 / 1102

页数：8

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