NanoStringDiff

NanoStringDiff-package


  NanoStringDiff is an R package for differential expression analysis of 
  NanoString nCounter data, and the main function for differential analysis 
  is <code><a rd-options="" href="/link/glm.LRT?package=NanoStringDiff&version=1.2.0" data-mini-rdoc="NanoStringDiff::glm.LRT">glm.LRT</a></code>. See the examples at <code><a rd-options="" href="/link/glm.LRT?package=NanoStringDiff&version=1.2.0" data-mini-rdoc="NanoStringDiff::glm.LRT">glm.LRT</a></code> for 
  basic analysis steps. 
  NanoStringDiff utilizes a generalized linear model (GLM) of the negative 
  binomial family to characterize count data and allows for multi-factor design.


package

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.

hong wang

Differential Expression Analysis of NanoString nCounter Data

NanoStringDiff-package function

NanoStringDiff is an R package for differential expression analysis of 
  NanoString nCounter data, and the main function for differential analysis 
  is <code><a href="glm.LRT" rd-options="">glm.LRT</a></code>. See the examples at <code><a href="glm.LRT" rd-options="">glm.LRT</a></code> for 
  basic analysis steps. 
  NanoStringDiff utilizes a generalized linear model (GLM) of the negative 
  binomial family to characterize count data and allows for multi-factor design.

NanoStringDiff-package: NanoStringDiff package for differential expression analysis of NanoString nCounter data

Description

Arguments