ComputeMSEGenewise: Computation of MSE per gene
In beyergroup/ADImpute: Adaptive Dropout Imputer (ADImpute)
Description
Usage
Arguments
Value
View source: R/GenewiseMethod.R
Description
ComputeMSEGenewise computes the MSE of dropout
imputation for a given gene.
Usage
1
ComputeMSEGenewise(real, masked, imputed, baseline)
Arguments
real
numeric; vector of original expression of a given gene (before
masking)
masked
logical; vector indicating which entries were masked for a
given gene
imputed
matrix; imputation results for a given imputation method
baseline
logical; is this baseline imputation?
Value
MSE of all imputations indicated by masked
beyergroup/ADImpute documentation built on Dec. 19, 2021, 8:48 a.m.
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Description Usage Arguments Value
View source: R/GenewiseMethod.R
Description
ComputeMSEGenewise computes the MSE of dropout
imputation for a given gene.
Usage
1 | ComputeMSEGenewise(real, masked, imputed, baseline)
|
Arguments
real |
numeric; vector of original expression of a given gene (before masking) |
masked |
logical; vector indicating which entries were masked for a given gene |
imputed |
matrix; imputation results for a given imputation method |
baseline |
logical; is this baseline imputation? |
Value
MSE of all imputations indicated by masked
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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