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Fold change and p-value cutoffs significantly alter microarray interpretations
BACKGROUND: As context is important to gene expression, so is the preprocessing of microarray to transcriptomics. Microarray data suffers from several normalization and significance problems. Arbitrary fold change (FC) cut-offs of >2 and significance p-values of <0.02 lead data collection to l...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305783/ https://www.ncbi.nlm.nih.gov/pubmed/22536862 http://dx.doi.org/10.1186/1471-2105-13-S2-S11 |