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Predicting gene ontology from a global meta-analysis of 1-color microarray experiments
ABSTRACT: BACKGROUND: Global meta-analysis (GMA) of microarray data to identify genes with highly similar co-expression profiles is emerging as an accurate method to predict gene function and phenotype, even in the absence of published data on the gene(s) being analyzed. With a third of human genes...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3236836/ https://www.ncbi.nlm.nih.gov/pubmed/22166114 http://dx.doi.org/10.1186/1471-2105-12-S10-S14 |