Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data |
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| Authors: | Huiling Xiong Dapeng Zhang Christopher J Martyniuk Vance L Trudeau Xuhua Xia |
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| Institution: | (1) Centre for Advanced Research in Environmental Genomics (CAREG), Department of Biology, University of Ottawa, Ottawa, Ontario, K1N 6N5, Canada |
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| Abstract: | Background Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases.
Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides (Scale, Quantile
and VSN). However, all these popular approaches have critical assumptions about data distribution, which is often not valid
in practice. |
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