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.
score: numeric scalar (likelihood) score.
inos: numeric vector containing the (likelihood) information.
exact: list containing info with respect to quantile adjustment.

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


[Package edgeR version 1.0.4 Index]