EBSeq_NingLeng-package {EBSeq} | R Documentation

## EBSeq: RNA-Seq Differential Expression Analysis on both gene and isoform level

### Description

In 'EBSeq_NingLeng-package,' a Negative Binomial-beta model was built to analyze the RNASeq data. We used the empirical bayes method and EM algrithom.

### Details

Package: | EBSeq_NingLeng
Type: | Package
Version: | 1.0
Date: | 2011-06-13
License: | What license is it under?
LazyLoad: | yes

### Author(s)

Ning Leng, Christina Kendziorski

Maintainer: Ning Leng <nleng@wisc.edu>

### References

Ning Leng, John A. Dawson, James A. Thomson, Victor Ruotti, Anna I. Rissman, Bart M.G. Smits, Jill D. Haag, Michael N. Gould, Ron M. Stewart, and Christina Kendziorski. EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics (2013)

### See Also

EBTest, EBMultiTest

### Examples

    data(GeneMat)
    GeneMat.small = GeneMat[c(1:10,511:550),]
    Sizes = MedianNorm(GeneMat.small)
    EBOut = EBTest(Data=GeneMat.small,
    	Conditions=as.factor(rep(c("C1","C2"), each=5)),
    	sizeFactors=Sizes, maxround=5)

[Package EBSeq version 1.26.0 Index]