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Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments
BACKGROUND: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is a lack of nonparametric procedures to analyze microarray data with multiple factors attributing to the gene expression. F...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
BioMed Central
2005
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| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1199581/ https://ncbi.nlm.nih.gov/pubmed/16042764 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-6-186 |
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