TCGA_Process_EstimateMissingValues: The TCGA_Process_EstimateMissingValues function
In gevaertlab/MethylMix: MethylMix: Identifying methylation driven cancer genes
Description
Usage
Arguments
Value
Description
Internal. Removes patients and genes with more missing values than the MissingValueThreshold, and imputes remaining missing values using Tibshirani's KNN method.
Usage
1
TCGA_Process_EstimateMissingValues(MET_Data, MissingValueThreshold = 0.2)
Arguments
MET_Data
data matrix.
MissingValueThreshold
threshold for removing samples and genes with too many missing values.
Value
the data set with imputed values and possibly some genes or samples deleted.
gevaertlab/MethylMix documentation built on May 13, 2019, 11:53 p.m.
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Description Usage Arguments Value
Description
Internal. Removes patients and genes with more missing values than the MissingValueThreshold, and imputes remaining missing values using Tibshirani's KNN method.
Usage
1 | TCGA_Process_EstimateMissingValues(MET_Data, MissingValueThreshold = 0.2)
|
Arguments
MET_Data |
data matrix. |
MissingValueThreshold |
threshold for removing samples and genes with too many missing values. |
Value
the data set with imputed values and possibly some genes or samples deleted.
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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