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Unsupervised assessment of microarray data quality using a Gaussian mixture model
BACKGROUND: Quality assessment of microarray data is an important and often challenging aspect of gene expression analysis. This task frequently involves the examination of a variety of summary statistics and diagnostic plots. The interpretation of these diagnostics is often subjective, and generall...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717951/ https://www.ncbi.nlm.nih.gov/pubmed/19545436 http://dx.doi.org/10.1186/1471-2105-10-191 |