文章基本信息

标题：Generalized singular value decomposition for comparative analysis of genome-scale expression data sets of two different organisms
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作者：Orly Alter ; Patrick O. Brown ; David Botstein 等
期刊名称：Proceedings of the National Academy of Sciences
印刷版ISSN：0027-8424
电子版ISSN：1091-6490
出版年度：2003
卷号：100
期号：6
页码：3351-3356
DOI：10.1073/pnas.0530258100
语种：English
出版社：The National Academy of Sciences of the United States of America
摘要：We describe a comparative mathematical framework for two genome-scale expression data sets. This framework formulates expression as superposition of the effects of regulatory programs, biological processes, and experimental artifacts common to both data sets, as well as those that are exclusive to one data set or the other, by using generalized singular value decomposition. This framework enables comparative reconstruction and classification of the genes and arrays of both data sets. We illustrate this framework with a comparison of yeast and human cell-cycle expression data sets.
关键词：DNA microarrays ; cell cycle ; yeast Saccharomyces cerevisiae ; human HeLa cell line