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Bootstrapping of gene-expression data improves and controls the false discovery rate of differentially expressed genes
The ordinary-, penalized-, and bootstrap t-test, least squares and best linear unbiased prediction were compared for their false discovery rates (FDR), i.e. the fraction of falsely discovered genes, which was empirically estimated in a duplicate of the data set. The bootstrap-t-test yielded up to 80...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2004
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697185/ https://www.ncbi.nlm.nih.gov/pubmed/15040898 http://dx.doi.org/10.1186/1297-9686-36-2-191 |