findLowlyVariableFeaturesCVs: Uses a list of FDR-values to extract features with low...
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
View source: R/analyzeResults.R
findLowlyVariableFeaturesCVs R Documentation
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
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
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
ComputationalProteomics/NormalyzerDE documentation built on May 20, 2024, 3:05 p.m.
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View source: R/analyzeResults.R
| findLowlyVariableFeaturesCVs | R Documentation |
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
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
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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