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t-Test at the Probe Level: An Alternative Method to Identify Statistically Significant Genes for Microarray Data
Microarray data analysis typically consists in identifying a list of differentially expressed genes (DEG), i.e., the genes that are differentially expressed between two experimental conditions. Variance shrinkage methods have been considered a better choice than the standard t-test for selecting the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979051/ https://www.ncbi.nlm.nih.gov/pubmed/27600352 http://dx.doi.org/10.3390/microarrays3040340 |