deepNeuralNetwork.standarizegenescore: Standarizes the input data using a feature as a target.
In OscarGVelasco/DeepNeuralNetworks4R: Implementation of Deep Neural Networks in R language
Description
Usage
Arguments
Details
Value
View source: R/deepNeuralNetwork.standarizegenescore.r
Description
'deepNeuralNetwork.standarizegenescore()' standarizes the given data by calculating a personalized z-score using the feature as centroid and dividing by the MAD.
Usage
1
2
deepNeuralNetwork.standarizegenescore(x = NULL, method = "gene",
gene.list = NA)
Arguments
x
Matrix. The data to be standarized.
method
Character. Only gene is acepted.
gene.list
Character vector. List of features to use if method is "genecomb".
Details
'deepNeuralNetwork.standarizegenescore()' standarizes the given data by calculating a personalized z-score using the feature as centroid and dividing by the MAD.
Value
The standarized data matrix.
OscarGVelasco/DeepNeuralNetworks4R documentation built on Jan. 24, 2021, 12:42 a.m.
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Description Usage Arguments Details Value
View source: R/deepNeuralNetwork.standarizegenescore.r
Description
'deepNeuralNetwork.standarizegenescore()' standarizes the given data by calculating a personalized z-score using the feature as centroid and dividing by the MAD.
Usage
1 2 | deepNeuralNetwork.standarizegenescore(x = NULL, method = "gene",
gene.list = NA)
|
Arguments
x |
Matrix. The data to be standarized. |
method |
Character. Only gene is acepted. |
gene.list |
Character vector. List of features to use if method is "genecomb". |
Details
'deepNeuralNetwork.standarizegenescore()' standarizes the given data by calculating a personalized z-score using the feature as centroid and dividing by the MAD.
Value
The standarized data matrix.
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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