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Figure 9 | BMC Bioinformatics

Figure 9

From: caCORRECT2: Improving the accuracy and reliability of microarray data in the presence of artifacts

Figure 9

Microarray Fold Change as a Predictor of PCR Fold Change in RCC Samples, and the Effect of Artifacts and caCORRECT Preprocessing. Genes were thresholded by magnitude of observed log fold change in RMA-derived microarray data, and considered truly differentially expressed if they exhibited more than a 2x or less than a 1/2x fold change between classes CC and CHR in the PCR data. Only genes for which PCR data were available appear in this analysis. caCORRECT preserves data quality for arrays without serious artifact (area under the curve increase from 0.777 to 0.786) and improves quality for arrays that have serious artifacts (area under the curve increase from 0.723 to 0.751, but not all the way back to 0.777).

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