Abstract
Normalization is critical for removing systematic variation from microarray data. For two-color microarray platforms, intensity-dependent lowess normalization is commonly used to correct relative gene expression values for biases. Here we outline a normalization method for use when the assumptions of lowess normalization fail. Specifically, this can occur when specialized boutique arrays are constructed that contain a subset of genes selected to test particular biological functions.
Keywords
Normalization (sociology)BiologyMicroarray analysis techniquesComputational biologyComputer scienceArtificial intelligenceGene expressionGeneGenetics
MeSH Terms
AnimalsB-LymphocytesColorDNA ProbesGene Expression ProfilingMiceOligonucleotide Array Sequence AnalysisUp-Regulation
Affiliated Institutions
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Publication Info
- Year
- 2007
- Type
- article
- Volume
- 8
- Issue
- 1
- Pages
- R2-R2
- Citations
- 68
- Access
- Closed
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Cite This
Alicia Oshlack,
Dianne Emslie,
Lynn M. Corcoran
et al.
(2007).
Normalization of boutique two-color microarrays with a high proportion of differentially expressed probes.
Genome biology
, 8
(1)
, R2-R2.
https://doi.org/10.1186/gb-2007-8-1-r2
Identifiers
- DOI
- 10.1186/gb-2007-8-1-r2
- PMID
- 17204140
- PMCID
- PMC1839120