Title: How noisy and replicable are DNA microarray data?

Authors: Suman Sundaresh, She-pin Hung, G. Wesley Hatfield, Pierre Baldi

Addresses: Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California, Irvine, CA 92697, USA. ' Department of Microbiology and Molecular Genetics, Institute for Genomics and Bioinformatics, College of Medicine, University of California, Irvine, CA 92697, USA. ' Department of Microbiology and Molecular Genetics, Institute for Genomics and Bioinformatics, College of Medicine, University of California, Irvine, CA 92697, USA. ' Institute for Genomics and Bioinformatics, School of Information and Computer Sciences, University of California, Irvine, CA 92697, USA

Abstract: This paper analyses variability in highly replicated measurements of DNA microarray data conducted on nylon filters and Affymetrix GeneChips with different cDNA targets, filters, and imaging technology. Replicability is assessed quantitatively using correlation analysis as a global measure and differential expression analysis and ANOVA at the level of individual genes.

Keywords: DNA microarrays; sources of variation; replication; correlation analysis; differential expression analysis; ANOVA; variability; nylon filters; bioinformatics; Affymetrix GeneChips; image processing.

DOI: 10.1504/IJBRA.2005.006901

International Journal of Bioinformatics Research and Applications, 2005 Vol.1 No.1, pp.31 - 50

Published online: 21 Apr 2005 *

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