edge: Extraction of Differential Gene Expression
In edge: Extraction of Differential Gene Expression
Description
Author(s)
Examples
Description
The edge package implements methods for carrying out differential
expression analyses of genome-wide gene expression studies. Significance
testing using the optimal discovery procedure and generalized likelihood
ratio tests (equivalent to F-tests and t-tests) are implemented for general study
designs. Special functions are available to facilitate the analysis of
common study designs, including time course experiments. Other packages
such as snm, sva, and qvalue are integrated in edge to provide a wide range
of tools for gene expression analysis.
Author(s)
John Storey, Jeffrey Leek, Andrew Bass
Examples
1
2
3
4
## Not run:
browseVignettes("edge")
## End(Not run)
edge documentation built on Nov. 8, 2020, 6:48 p.m.
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Description Author(s) Examples
Description
The edge package implements methods for carrying out differential expression analyses of genome-wide gene expression studies. Significance testing using the optimal discovery procedure and generalized likelihood ratio tests (equivalent to F-tests and t-tests) are implemented for general study designs. Special functions are available to facilitate the analysis of common study designs, including time course experiments. Other packages such as snm, sva, and qvalue are integrated in edge to provide a wide range of tools for gene expression analysis.
Author(s)
John Storey, Jeffrey Leek, Andrew Bass
Examples
1 2 3 4 | ## Not run:
browseVignettes("edge")
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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