TCGA_Process_EstimateMissingValues: The TCGA_Process_EstimateMissingValues function
In gevaertlab/EpiMix: EpiMix: an integrative tool for the population-level analysis of DNA methylation
View source: R/TCGA_Download_Preprocess.R
TCGA_Process_EstimateMissingValues R Documentation
The TCGA_Process_EstimateMissingValues function
Description
Internal. Removes patients and genes with more missing values than the MissingValueThreshold, and imputes remaining missing values using Tibshirani's KNN method.
Usage
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/EpiMix documentation built on July 20, 2023, 9:28 a.m.
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View source: R/TCGA_Download_Preprocess.R
| TCGA_Process_EstimateMissingValues | R Documentation |
The TCGA_Process_EstimateMissingValues function
Description
Internal. Removes patients and genes with more missing values than the MissingValueThreshold, and imputes remaining missing values using Tibshirani's KNN method.
Usage
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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