Global rank-invariant set normalization (GRSN) to reduce systematic distortions in microarray data

BACKGROUND: Microarray technology has become very popular for globally evaluating gene expression in biological samples. However, non-linear variation associated with the technology can make data interpretation unreliable. Therefore, methods to correct this kind of technical variation are critical....

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Detalles Bibliográficos
Autores principales: Pelz, Carl R, Kulesz-Martin, Molly, Bagby, Grover, Sears, Rosalie C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2644708/
https://www.ncbi.nlm.nih.gov/pubmed/19055840
http://dx.doi.org/10.1186/1471-2105-9-520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2644708/
https://www.ncbi.nlm.nih.gov/pubmed/19055840
http://dx.doi.org/10.1186/1471-2105-9-520

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