Cargando…
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: | , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2004
|
Materias: | |
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 |