NanoStringDiff

DOI: 10.18129/B9.bioc.NanoStringDiff    

Differential Expression Analysis of NanoString nCounter Data

Bioconductor version: Release (3.6)

This Package utilizes a generalized linear model(GLM) of the negative binomial family to characterize count data and allows for multi-factor design. NanoStrongDiff incorporate size factors, calculated from positive controls and housekeeping controls, and background level, obtained from negative controls, in the model framework so that all the normalization information provided by NanoString nCounter Analyzer is fully utilized.

Author: hong wang <hong.wang at uky.edu>, tingting zhai <tingting.zhai at uky.edu>, chi wang <chi.wang at uky.edu>

Maintainer: tingting zhai <tingting.zhai at uky.edu>,hong wang <hong.wang at uky.edu>

Citation (from within R, enter citation("NanoStringDiff")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("NanoStringDiff")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("NanoStringDiff")

 

PDF R Script NanoStringDiff Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, Normalization, Software
Version 1.9.2
In Bioconductor since BioC 3.2 (R-3.2) (2.5 years)
License GPL
Depends Biobase
Imports matrixStats, methods, Rcpp
LinkingTo Rcpp
Suggests testthat, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package NanoStringDiff_1.9.2.tar.gz
Windows Binary NanoStringDiff_1.9.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) NanoStringDiff_1.9.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/NanoStringDiff
Package Short Url http://bioconductor.org/packages/NanoStringDiff/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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