performCyclicLoessNormalization: Cyclic Loess normalization
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
performCyclicLoessNormalization R Documentation
Cyclic Loess normalization
Description
Log2 transformed data is normalized by Loess method using the function
"normalizeCyclicLoess". Further information is available for the function
"normalizeCyclicLoess" in the Limma package.
Usage
performCyclicLoessNormalization(rawMatrix, noLogTransform = FALSE)
Arguments
rawMatrix
Target matrix to be normalized
noLogTransform
Assumes no need for log transformation
Value
Normalized matrix
Examples
data(example_data_only_values_small)
normMatrix <- performCyclicLoessNormalization(example_data_only_values)
ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.
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| performCyclicLoessNormalization | R Documentation |
Cyclic Loess normalization
Description
Log2 transformed data is normalized by Loess method using the function "normalizeCyclicLoess". Further information is available for the function "normalizeCyclicLoess" in the Limma package.
Usage
performCyclicLoessNormalization(rawMatrix, noLogTransform = FALSE)
Arguments
rawMatrix |
Target matrix to be normalized |
noLogTransform |
Assumes no need for log transformation |
Value
Normalized matrix
Examples
data(example_data_only_values_small)
normMatrix <- performCyclicLoessNormalization(example_data_only_values)
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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