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The effects of normalization on the correlation structure of microarray data |
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| Authors: | Xing?Qiu Andrew?I?Brooks Lev?Klebanov |
| Institution: | (1) Department of Biostatistics and Computational Biology, University of Rochester, New York, 14642, USA;(2) Functional Genomics Center, University of Rochester, 601 Elmwood Avenue, Rochester, New York 14642, USA;(3) Department of Probability and Statistics, Charles University, Sokolovska 83, Praha-8, CZ-18675, Czech Republic |
| Abstract: | BackgroundStochastic dependence between gene expression levels in microarray data is of critical importance for the methods of statistical inference that resort to pooling test-statistics across genes. It is frequently assumed that dependence between genes (or tests) is suffciently weak to justify the proposed methods of testing for differentially expressed genes. A potential impact of between-gene correlations on the performance of such methods has yet to be explored. |
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