lassoImpute: lasso imputation - single column
In hkumar6/gene.expression: Imputing dropouts in gene expression
Description
Usage
Arguments
Value
View source: R/lasso-functions.R
Description
Impute results for a specific gene or cell using lasso
Usage
1
lassoImpute(ID, simData.learn, simData.test)
Arguments
ID
string for the cell or gene to impute, must be a column name in the data
simData.learn
training data, as matrix
simData.test
testing data, for predictions, as matrix
Value
data.frame containing results of the simulation
mean squared error, Spearman correlation, optimal parameters for kknn
hkumar6/gene.expression documentation built on May 17, 2019, 4:33 p.m.
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Description Usage Arguments Value
View source: R/lasso-functions.R
Description
Impute results for a specific gene or cell using lasso
Usage
1 | lassoImpute(ID, simData.learn, simData.test)
|
Arguments
ID |
string for the cell or gene to impute, must be a column name in the data |
simData.learn |
training data, as matrix |
simData.test |
testing data, for predictions, as matrix |
Value
data.frame containing results of the simulation mean squared error, Spearman correlation, optimal parameters for kknn
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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