RankingShrinkageT {GeneSelector} | R Documentation |
The shrinkage t statistic stabilizes the estimated variances appearing in the denominator of the statistic via a James-Stein-Shrinkage approach (Opgen-Rhein and Strimmer, 2007). In this implementation, the shrinkage target is the median of the variances.
RankingShrinkageT(x, y, type = c("unpaired", "paired", "onesample"), gene.names = NULL, ...)
x |
A |
y |
If |
type |
|
gene.names |
An optional vector of gene names. |
... |
Currently unused argument. |
An object of class GeneRanking.
Martin Slawski
Anne-Laure Boulesteix
Opgen-Rhein, R., Strimmer, K. (2007).
Accurate Ranking of Differentially Expressed Genes
by a Distribution-Free Shrinkage Approach.
Statistical Applications in Genetics and
Molecular Biology, Vol. 6, Iss. 1, Art.9
RepeatRanking, RankingTstat, RankingFC, RankingWelchT, RankingWilcoxon, RankingBaldiLong, RankingFoxDimmic, RankingLimma, RankingEbam, RankingWilcEbam, RankingSam, RankingSoftthresholdT, RankingPermutation
### Load toy gene expression data data(toydata) ### class labels yy <- toydata[1,] ### gene expression xx <- toydata[-1,] ### run RankingShrinkageT shrinkaget <- RankingShrinkageT(xx, yy, type="unpaired")