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A power law global error model for the identification of differentially expressed genes in microarray data
BACKGROUND: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiology, disease or intervention. Methods for the identification of these so-called "differentially expressed genes"...
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| Main Authors: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC545082/ https://ncbi.nlm.nih.gov/pubmed/15606915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-5-203 |
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