RankingWilcEbam {GeneSelector} | R Documentation |
The function is a wrapper for the function wilc.ebam
from the package siggenes
that implements an
empirical bayes mixture model approach in combination
with the Wilcoxon statistic.
RankingWilcEbam(x, y, type = c("unpaired", "paired", "onesample"), gene.names = NULL, ...)
x |
A |
y |
If |
type |
|
gene.names |
An optional vector of gene names. |
... |
Further arguments to be passed to |
An object of class GeneRanking
.
p-values are not computed - the statistic is a posterior probabiliy.
Martin Slawski
Anne-Laure Boulesteix
Efron, B., Tibshirani, R. (2002).
Empirical Bayes Methods and False Discovery Rates for Microarrays
Genetic Epidemiology, 23, 70-86
Schwender, H., Krause, A. and Ickstadt, K. (2003).
Comparison of the Empirical Bayes and the Significance
Analysis of Microarrays.
Techical Report, University of Dortmund.
RepeatRanking, RankingTstat, RankingFC, RankingWelchT, RankingWilcoxon, RankingBaldiLong, RankingFoxDimmic, RankingLimma, RankingEbam, RankingSam, RankingShrinkageT, RankingSoftthresholdT, RankingPermutation
### Load toy gene expression data data(toydata) ### class labels yy <- toydata[1,] ### gene expression xx <- toydata[-1,] ### run RankingWilcEbam WilcEbam <- RankingWilcEbam(xx, yy, type="unpaired")