findLowlyVariableFeaturesCVs: Uses a list of FDR-values to extract features with low...
In NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
Description
Usage
Arguments
Value
View source: R/analyzeResults.R
Description
Uses a list of FDR-values to extract features with low variance in the
log2-transformed dataset. This is then used to calculate the average CV
for these 'lowly variable' features in each normalization approach
Usage
1
findLowlyVariableFeaturesCVs(referenceFDR, methodList)
Arguments
referenceFDR
List of FDR values used as non-normalized reference
methodList
List containing normalized matrices
Value
lowVarFeaturesAverageCVs Average CV values for lowly variable
features in each normalization approach
NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.
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Description Usage Arguments Value
View source: R/analyzeResults.R
Description
Uses a list of FDR-values to extract features with low variance in the log2-transformed dataset. This is then used to calculate the average CV for these 'lowly variable' features in each normalization approach
Usage
1 | findLowlyVariableFeaturesCVs(referenceFDR, methodList)
|
Arguments
referenceFDR |
List of FDR values used as non-normalized reference |
methodList |
List containing normalized matrices |
Value
lowVarFeaturesAverageCVs Average CV values for lowly variable features in each normalization approach
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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