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 1.2.0 Index]