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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...
Tallennettuna:
| Päätekijät: | , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2008
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2620272/ https://ncbi.nlm.nih.gov/pubmed/19014681 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-9-486 |
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