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Evaluating methods for ranking differentially expressed genes applied to microArray quality control data

BACKGROUND: Statistical methods for ranking differentially expressed genes (DEGs) from gene expression data should be evaluated with regard to high sensitivity, specificity, and reproducibility. In our previous studies, we evaluated eight gene ranking methods applied to only Affymetrix GeneChip data...

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Bibliografische gegevens
Hoofdauteurs: Kadota, Koji, Shimizu, Kentaro
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2011
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3128035/
https://ncbi.nlm.nih.gov/pubmed/21639945
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-227
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