performGlobalRLRNormalization: Global linear regression normalization
In ComputationalProteomics/NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
performGlobalRLRNormalization R Documentation
Global linear regression normalization
Description
Log2 transformed data is normalized by robust linear regression using
the function "rlm" from the MASS package.
Usage
performGlobalRLRNormalization(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 <- performGlobalRLRNormalization(example_data_only_values)
ComputationalProteomics/NormalyzerDE documentation built on Oct. 18, 2024, 9:57 p.m.
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| performGlobalRLRNormalization | R Documentation |
Global linear regression normalization
Description
Log2 transformed data is normalized by robust linear regression using the function "rlm" from the MASS package.
Usage
performGlobalRLRNormalization(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 <- performGlobalRLRNormalization(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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