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• W2139600676 abstract "The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets and false associations between genes and clinical variables. We developed a method to correct for technical bias in clinical microarray data, which increased concordance with known biological relationships in multiple data sets." @default.
• W2139600676 created "2016-06-24" @default.
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• W2139600676 date "2008-01-01" @default.
• W2139600676 modified "2023-10-06" @default.
• W2139600676 title "Correction of technical bias in clinical microarray data improves concordance with known biological information" @default.
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• W2139600676 doi "https://doi.org/10.1186/gb-2008-9-2-r26" @default.
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