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Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification
BACKGROUND: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of identification and annotation of bimodal genes in the human and mouse genomes. These switch-like genes consist of 15% of kno...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2620272/ https://www.ncbi.nlm.nih.gov/pubmed/19014681 http://dx.doi.org/10.1186/1471-2105-9-486 |