May 312016
 

NOISeq 2.16.0

:: DESCRIPTION

NOISeq is a non-parametric approach for the identification of differentially expressed genes from count data. NOISeq empirically models the noise distribution of count changes by contrasting fold-change differences (M) and absolute expression differences (D) for all the features in samples within the same condition.

::DEVELOPER

The Genomics of Gene Expression Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/Windows/MacOsX
  • R Package
  • BioConductor

:: DOWNLOAD

 NOISeq

:: MORE INFORMATION

Citation

Tarazona S., García-Alcalde F., Ferrer A., Dopazo J., and Conesa A.
Differential expression in RNA-seq: a matter of depth.
Genome Res. 2011.

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