modTMM: Normalize Data
In exprso: Rapid Deployment of Machine Learning Algorithms
Description
Usage
Arguments
Details
Value
Description
modTMM normalizes feature data.
Usage
1
modTMM(object, method = "TMM")
Arguments
object
An ExprsArray object to undergo pre-processing.
method
A character string. The method used by calcNormFactors.
Defaults to the "TMM" method.
Details
This method normalizes data using the calcNormFactors function
from the edgeR package. It returns the original counts
multiplied by the effective library size factors.
Value
A pre-processed ExprsArray object.
exprso documentation built on May 1, 2019, 7:11 p.m.
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Description Usage Arguments Details Value
Description
modTMM normalizes feature data.
Usage
1 | modTMM(object, method = "TMM")
|
Arguments
object |
An |
method |
A character string. The method used by |
Details
This method normalizes data using the calcNormFactors function
from the edgeR package. It returns the original counts
multiplied by the effective library size factors.
Value
A pre-processed ExprsArray object.
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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