Correcting for gene-specific dye bias in DNA microarrays using the method of maximum likelihood.

TitleCorrecting for gene-specific dye bias in DNA microarrays using the method of maximum likelihood.
Publication TypeJournal Article
Year of Publication2008
AuthorsKelley R, Feizi H, Ideker T
JournalBioinformatics
Volume24
Issue1
Pagination71-7
Date Published2008 Jan 1
ISSN1367-4811
KeywordsAlgorithms, Artifacts, Fluorescent Dyes, Gene Expression Profiling, Image Enhancement, Image Interpretation, Computer-Assisted, Likelihood Functions, Microscopy, Fluorescence, Multiphoton, Oligonucleotide Array Sequence Analysis, Reproducibility of Results, Sensitivity and Specificity
Abstract

MOTIVATION: In two-color microarray experiments, well-known differences exist in the labeling and hybridization efficiency of Cy3 and Cy5 dyes. Previous reports have revealed that these differences can vary on a gene-by-gene basis, an effect termed gene-specific dye bias. If uncorrected, this bias can influence the determination of differentially expressed genes.

RESULTS: We show that the magnitude of the bias scales multiplicatively with signal intensity and is dependent on which nucleotide has been conjugated to the fluorescent dye. A method is proposed to account for gene-specific dye bias within a maximum-likelihood error modeling framework. Using two different labeling schemes, we show that correcting for gene-specific dye bias results in the superior identification of differentially expressed genes within this framework. Improvement is also possible in related ANOVA approaches.

AVAILABILITY: A software implementation of this procedure is freely available at http://cellcircuits.org/VERA

DOI10.1093/bioinformatics/btm347
PubMed URLhttp://www.ncbi.nlm.nih.gov/pubmed/17623705?dopt=Abstract
PMCPMC2811084
Alternate TitleBioinformatics
PubMed ID17623705