Application of a correlation correction factor in a microarray cross-platform reproducibility study

Background: Recent research examining cross-platform correlation of gene expression intensities has yielded mixed results. In this study, we demonstrate use of a correction factor for estimating cross-platform correlations. Results: In this paper, three technical replicate microarrays were hybridized to each of three platforms. The three platforms were then analyzed to assess both intra- and cross-platform reproducibility. We present various methods for examining intra-platform reproducibility. We also examine cross-platform reproducibility using Pearson's correlation. Additionally, we previously developed a correction factor for Pearson's correlation which is applicable when X and Y are measured with error. Herein we demonstrate that correcting for measurement error by estimating the "disattenuated" correlation substantially improves cross-platform correlations. Conclusion: When estimating cross-platform correlation, it is essential to thoroughly evaluate intra-pl...

• Type: Journal
• Year: 2007
• Where: BMCBI
• Authors: Kellie J. Archer, Catherine I. Dumur, G. Scott Taylor, Michael D. Chaplin, Anthony Guiseppi-Elie, Geraldine Grant, Andrea Ferreira-Gonzalez, Carleton T. Garrett
• Keywords: BMCBI 2007, Cross-platform, Cross-platform Correlation, Reproducibility