文章基本信息

标题：Analysis of dynamic protein expression data
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作者：Klaus Jung ; Ali Gannoun ; Wolfgang Urfer 等
期刊名称：RevStat : Statistical Journal
印刷版ISSN：1645-6726
出版年度：2005
卷号：3
期号：2
页码：99-111
出版社：Instituto Nacional de Estatística
摘要：Di®erence gel electrophoresis (DIGE) is the new gold standard analysing complex protein mixtures in proteomics. It is used for measuring the expression levels of proteins in di®erent mixtures on the same two-dimensional electrophoresis (2-DE) gel. In this paper we review a method for the calibration and normalization of those protein expression measurements. Further we show how to ¯nd treatment e®ects and time-treatment-interactions in longitudinal data obtained from DIGE experiments. A problem in those data sets is the existence of a lot of missing values. Therefore, we propose a method for the estimation of missing data points.
关键词：di®erence gel electrophoresis; data calibration; mixed linear model for longitudinal data; missing values; proteomics.