Description Usage Arguments Details Value Note Author(s) References See Also Examples
The approach of Efron et al. (2001) is based on a mixture model
for two subpopulations: genes that are differentially expressed and
those not. The posterior probability for differential
expression is used to obtain a ranking.
The function described below is merely a wrapper for the
function z.ebam
from the package siggenes
.
For S4
method information, see RankingEbammethods.
1  RankingEbam(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 passed to the function 
To find a better value for the fudge factor, the function
find.a0
(package siggenes
) can be used.
An object of class GeneRanking.
Pvalues are not computed  the statistic is a posterior probabiliy.
Martin Slawski
AnneLaure Boulesteix
Efron, B., Tibshirani, R., Storey, J.D., Tusher, V. (2001).
Empirical Bayes Analysis of a Microarray Experiment.
Journal of the American Statistical Association, 96, 11511160.
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, RankingWilcEbam, RankingSam, RankingShrinkageT, RankingSoftthresholdT, RankingPermutation
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