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A novel data mining method to identify assay-specific signatures in functional genomic studies
BACKGROUND: The highly dimensional data produced by functional genomic (FG) studies makes it difficult to visualize relationships between gene products and experimental conditions (i.e., assays). Although dimensionality reduction methods such as principal component analysis (PCA) have been very usef...
| Autores principales: | , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2006
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1599756/ https://www.ncbi.nlm.nih.gov/pubmed/16907975 http://dx.doi.org/10.1186/1471-2105-7-377 |