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Improving identification of differentially expressed genes in microarray studies using information from public databases
We demonstrate that the process of identifying differentially expressed genes in microarray studies with small sample sizes can be substantially improved by extracting information from a large number of datasets accumulated in public databases. The improvement comes from more reliable estimates of g...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC522877/ https://www.ncbi.nlm.nih.gov/pubmed/15345054 http://dx.doi.org/10.1186/gb-2004-5-9-r70 |