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Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models
BACKGROUND: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases statistical power of detecting differentially expressed genes and allows assessment of heterogeneity. The challenge, how...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2005
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173085/ https://www.ncbi.nlm.nih.gov/pubmed/15921507 http://dx.doi.org/10.1186/1471-2105-6-128 |