performQuantileNormalization: Quantile normalization is performed by the function...
In NormalyzerDE: Evaluation of normalization methods and calculation of differential expression analysis statistics
Description
Usage
Arguments
Value
Examples
Description
It makes the assumption that the data in different samples should originate
from an identical distribution. It does this by generating a reference
distribution and then scaling the other samples accordingly.
Usage
1
performQuantileNormalization(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 <- performQuantileNormalization(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
It makes the assumption that the data in different samples should originate from an identical distribution. It does this by generating a reference distribution and then scaling the other samples accordingly.
Usage
1 | performQuantileNormalization(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 <- performQuantileNormalization(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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