randomForestImputeAll: Random Forest imputation - multiple columns
In hkumar6/gene.expression: Imputing dropouts in gene expression

Impute results for multiple genes or cells using lasso

1	randomForestImputeAll(selectedList, simData.learn, simData.test)

`selectedList`	vector of strings for the cells or genes to impute, must be a column name in the data
`simData.learn`	training data, as matrix
`simData.test`	testing data, for predictions, as matrix

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.

hkumar6/gene.expression index

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