期刊
BIOMETRICS
卷 61, 期 2, 页码 630-632出版社
WILEY
DOI: 10.1111/j.1541-0420.2005.00366.x
关键词
bioinformatics; biplot; data visualization; GE-biplot; gene expression data; microarray data; multivariate exploratory data analysis; principal component analysis; SVD
This note is in response to Wouters et al. (2003, Biometrics 59, 1131-1139) who compared three methods for exploring gene expression data. Contrary to their summary that principal component analysis is not very informative, we show that it is possible to determine principal component analyses that are useful for exploratory analysis of microarray data. We also present another biplot representation, the GE-biplot (Gene Expression biplot), that is a useful method for exploring gene expression data with the major advantage of being able to aid interpretation of both the samples and the genes relative to each other.
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