kknnImpute: kknn imputation - single column

In hkumar6/gene.expression: Imputing dropouts in gene expression

Description

Impute results for a specific gene or cell using kknn

Usage

kknnImpute(id, simData.learn, simData.test, kmaxParam = 40,
  mixedSpeciesData = FALSE, predicted = FALSE)

Arguments

id	string for the cell or gene to impute, must be a column name in the data
simData.learn	training data as data.frame
simData.test	testing data, for predictions, as data.frame
kmaxParam	integer specifying the maximum number of neighbors to consider for training data
mixedSpeciesData	TRUE/FALSE depending on whether the data belongs to the mixed species experiment. If TRUE, additional measures are included for analysis

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.