ImputeBaseline: Impute using average expression across all cells
In beyergroup/ADImpute: Adaptive Dropout Imputer (ADImpute)
Description
Usage
Arguments
Value
Description
ImputeBaseline imputes dropouts using gene averages
across cells. Zero values are excluded from the mean computation.
Usage
1
ImputeBaseline(data, write = FALSE, ...)
Arguments
data
matrix with entries equal to zero to be imputed, normalized
and log2-transformed (genes as rows and samples as columns)
write
logical; should a file with the imputation results be written?
...
additional arguments to saveRDS
Value
matrix; imputation results considering the average expression
values of genes
beyergroup/ADImpute documentation built on Dec. 19, 2021, 8:48 a.m.
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Description Usage Arguments Value
Description
ImputeBaseline imputes dropouts using gene averages
across cells. Zero values are excluded from the mean computation.
Usage
1 | ImputeBaseline(data, write = FALSE, ...)
|
Arguments
data |
matrix with entries equal to zero to be imputed, normalized and log2-transformed (genes as rows and samples as columns) |
write |
logical; should a file with the imputation results be written? |
... |
additional arguments to |
Value
matrix; imputation results considering the average expression values of genes
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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