RankingEbam-methods {GeneSelector}R Documentation

Ranking based on the empirical bayes approach of Efron

Description

The approach of Efron and colleagues is based on a mixture model for subpopulations: genes that are differentially expressed and those that are not. The posterior probability for differential expression serves as statistic. The function described below is merely a wrapper for the function z.ebam from the package siggenes.

Methods

The input (gene expression and class labels) can be given in three different ways:

x = "matrix", y = "numeric"
signature 1
x = "matrix", y = "factor"
signature 2
x = "ExpressionSet", y = "character"
signature 3

For further argument and output information, consult RankingEbam.


[Package GeneSelector version 1.4.0 Index]