EBList-class {edgeR}R Documentation

differential expression of Digital Gene Expression data - class

Description

A simple list-based class for storing results of the approximate empirical Bayes rule parameters

Slots/List Components

Objects of this class contain the following list components: sigma2.0.est: numeric scale sigma_0^2 estimate. alpha: numeric scalar alpha estimate. scores: numeric scalar (likelihood) score. infos: numeric vector containing the (likelihood) information for each tag. quantileAdjusted: list from output of quantileAdjust).

Methods

This class inherits directly from class list so any operation appropriate for lists will work on objects of this class. EBList objects also have a show method.

Author(s)

Mark Robinson, Davis McCarthy


[Package edgeR version 1.2.4 Index]