EBSeq_NingLeng-package {EBSeq} | R Documentation |
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.
Package: | EBSeq_NingLeng |
Type: | Package |
Version: | 1.0 |
Date: | 2011-06-13 |
License: | What license is it under? |
LazyLoad: | yes |
Ning Leng, Christina Kendziorski
Maintainer: Ning Leng <nleng@wisc.edu>
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)
EBTest, EBMultiTest
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)