Discovering significant and interpretable patterns from multifactorial DNA microarray data with poor replication

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• 作者：Kim ; Ju Han ; Jeoung ; Dooil ; Lee ; Seongeun ; Kim ; Hyeouneui
• 关键词：Gene expression ; DNA microarray ; Pattern recognition ; Genetic algorithm ; Gastric cancer
• 刊名：Journal of Biomedical Informatics
• 出版年：2004
• 期刊代码：134_15320464
• 类别：cp
• 出版时间：August, 2004
• 卷：37
• 期：4
• 页码：260-268
• 文件大小：707 K

摘要

Multivariate analyses are advantageous for the simultaneous testing of the separate and combined effects of many variables and of their interactions. In factorial designs with many factors and/or levels, however, sufficient replication is often prohibitively costly. Furthermore, complicated statements are often required for the biological interpretation of the higher-order interactions determined by standard statistical techniques like analysis of variance.