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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...

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Detalles Bibliográficos
Publicado en:Microarrays (Basel)
Autores principales: Boareto, Marcelo, Caticha, Nestor
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI 2014
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4979051/
https://ncbi.nlm.nih.gov/pubmed/27600352
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/microarrays3040340
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