TCGA_Process_EstimateMissingValues: The TCGA_Process_EstimateMissingValues function
In gevaertlab/methylmix: MethylMix: Identifying methylation driven cancer genes
Description
Usage
Arguments
Value
View source: R/Download_Preprocess.R
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 25, 2019, 5:25 p.m.
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Description Usage Arguments Value
View source: R/Download_Preprocess.R
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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