getImputedData: getImputedData

In MOFA: Multi-Omics Factor Analysis (MOFA)

Description

Function to get the imputed data. It requires the previous use of the impute method.

Usage

getImputedData(object, views = "all", features = "all",
  as.data.frame = FALSE)

Arguments

object	a trained MOFAmodel object.
views	character vector with the view name(s), or numeric vector with the view index(es). Default is "all".
features	list of character vectors with the feature names or list of numeric vectors with the feature indices. Default is "all"
as.data.frame	logical indicating whether to return a long-formatted data frame instead of a list of matrices. Default is FALSE.

Value

By default returns a list where each element is a matrix with dimensionality (D,N), where D is the number of features in this view and N is the number of samples.
Alternatively, if as.data.frame is TRUE, returns a long-formatted data frame with columns (view,feature,sample,value).

Examples

# load a trained MOFAmodel object
filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
MOFAobject <- loadModel(filepath)
# impute missing values
MOFAobject <- impute(MOFAobject)
# get imputations for a single view
imputedDrugs <- getImputedData(MOFAobject,view="Drugs")
head(imputedDrugs)

MOFA documentation built on Feb. 11, 2021, 2:01 a.m.