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Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
BACKGROUND: Normalization is essential in dual-labelled microarray data analysis to remove non-biological variations and systematic biases. Many normalization methods have been used to remove such biases within slides (Global, Lowess) and across slides (Scale, Quantile and VSN). However, all these p...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2275243/ https://www.ncbi.nlm.nih.gov/pubmed/18199333 http://dx.doi.org/10.1186/1471-2105-9-25 |