sSeq: Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size
Version 1.14.0

The purpose of this package is to discover the genes that are differentially expressed between two conditions in RNA-seq experiments. Gene expression is measured in counts of transcripts and modeled with the Negative Binomial (NB) distribution using a shrinkage approach for dispersion estimation. The method of moment (MM) estimates for dispersion are shrunk towards an estimated target, which minimizes the average squared difference between the shrinkage estimates and the initial estimates. The exact per-gene probability under the NB model is calculated, and used to test the hypothesis that the expected expression of a gene in two conditions identically follow a NB distribution.

Package details

AuthorDanni Yu <[email protected]>, Wolfgang Huber <[email protected]> and Olga Vitek <[email protected]>
Bioconductor views RNASeq
MaintainerDanni Yu <[email protected]>
LicenseGPL (>= 3)
Version1.14.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("sSeq")

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sSeq documentation built on May 31, 2017, 11:17 a.m.