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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Detalles Bibliográficos
Autores principales: Kadota, Koji, Shimizu, Kentaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128035/
https://www.ncbi.nlm.nih.gov/pubmed/21639945
http://dx.doi.org/10.1186/1471-2105-12-227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3128035/
https://www.ncbi.nlm.nih.gov/pubmed/21639945
http://dx.doi.org/10.1186/1471-2105-12-227

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