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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2008
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2644708/ https://ncbi.nlm.nih.gov/pubmed/19055840 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-520 |
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