Towards the uniform distribution of null P values on Affymetrix microarrays
Open Access
- 1 May 2007
- journal article
- Published by Springer Nature in Genome Biology
- Vol. 8 (5) , R69
- https://doi.org/10.1186/gb-2007-8-5-r69
Abstract
Methods to control false-positive rates require that P values of genes that are not differentially expressed follow a uniform distribution. Commonly used microarray statistics can generate P values that do not meet this assumption. We show that poorly characterized variance, imperfect normalization, and cross-hybridization are among the many causes of this non-uniform distribution. We demonstrate a simple technique that produces P values that are close to uniform for nondifferentially expressed genes in control datasets.Keywords
This publication has 27 references indexed in Scilit:
- Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependentBMC Genomics, 2007
- A reanalysis of a published Affymetrix GeneChip control datasetGenome Biology, 2006
- Feature-level exploration of a published Affymetrix GeneChip control dataset.Genome Biology, 2006
- Microarray data analysis: from disarray to consolidation and consensusNature Reviews Genetics, 2006
- Preferred analysis methods for Affymetrix GeneChips revealed by a wholly defined control datasetGenome Biology, 2005
- Correlation Between Gene Expression Levels and Limitations of the Empirical Bayes Methodology for Finding Differentially Expressed GenesStatistical Applications in Genetics and Molecular Biology, 2005
- Effect of Normalization on Significance Testing for Oligonucleotide MicroarraysJournal of Biopharmaceutical Statistics, 2004
- Statistical significance for genomewide studiesProceedings of the National Academy of Sciences, 2003
- Solving the riddle of the bright mismatches: Labeling and effective binding in oligonucleotide arraysPhysical Review E, 2003
- Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detectionProceedings of the National Academy of Sciences, 2000