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Identifying functional relationships within sets of co-expressed genes by combining upstream regulatory motif analysis and gene expression information
BACKGROUND: Existing clustering approaches for microarray data do not adequately differentiate between subsets of co-expressed genes. We devised a novel approach that integrates expression and sequence data in order to generate functionally coherent and biologically meaningful subclusters of genes....
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2975146/ https://www.ncbi.nlm.nih.gov/pubmed/21047389 http://dx.doi.org/10.1186/1471-2164-11-S2-S8 |