performSMADNormalization: Median absolute deviation normalization Normalization...
In NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
Description
Usage
Arguments
Value
Examples
Description
Median absolute deviation normalization
Normalization subtracts the median and divides the data by the
median absolute deviation (MAD).
Usage
1
performSMADNormalization(rawMatrix, noLogTransform = FALSE)
Arguments
rawMatrix
Target matrix to be normalized
noLogTransform
Assumes no need for log transformation
Value
Normalized matrix
Examples
1
2
data(example_data_only_values_small)
normMatrix <- performSMADNormalization(example_data_only_values)
NormalyzerDE documentation built on Nov. 8, 2020, 8:22 p.m.
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Description Usage Arguments Value Examples
Description
Median absolute deviation normalization Normalization subtracts the median and divides the data by the median absolute deviation (MAD).
Usage
1 | performSMADNormalization(rawMatrix, noLogTransform = FALSE)
|
Arguments
rawMatrix |
Target matrix to be normalized |
noLogTransform |
Assumes no need for log transformation |
Value
Normalized matrix
Examples
1 2 | data(example_data_only_values_small)
normMatrix <- performSMADNormalization(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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