MaskData: Masking of entries for performance evaluation
In beyergroup/ADImpute: Adaptive Dropout Imputer (ADImpute)
Description
Usage
Arguments
Details
Value
View source: R/GenewiseMethod.R
Description
MaskData sets a portion (mask) of the non-zero
entries of each row of data to zero
Usage
1
Arguments
data
matrix; raw counts (genes as rows and samples as columns)
write.to.file
logical; should the output be written to a file?
mask
numeric; ratio of total non-zero samples to be masked per gene
(defaults to .1)
Details
Sets a portion (mask) of the non-zero entries of each row of
data to zero. Result is written to filename.
Value
matrix containing masked raw counts (genes as rows and samples as
columns)
beyergroup/ADImpute documentation built on Dec. 19, 2021, 8:48 a.m.
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Description Usage Arguments Details Value
View source: R/GenewiseMethod.R
Description
MaskData sets a portion (mask) of the non-zero
entries of each row of data to zero
Usage
1 |
Arguments
data |
matrix; raw counts (genes as rows and samples as columns) |
write.to.file |
logical; should the output be written to a file? |
mask |
numeric; ratio of total non-zero samples to be masked per gene (defaults to .1) |
Details
Sets a portion (mask) of the non-zero entries of each row of
data to zero. Result is written to filename.
Value
matrix containing masked raw counts (genes as rows and samples as columns)
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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