prepareMOFA: prepare a MOFAobject for training

In MOFA: Multi-Omics Factor Analysis (MOFA)

Description

Function to prepare a MOFAmodel object for training. Here, data, input/output option are specified and data, model and training options can be set.

Usage

prepareMOFA(object, DataOptions = NULL, ModelOptions = NULL,
  TrainOptions = NULL)

Arguments

object	an untrained MOFAmodel
DataOptions	list of DataOptions (see getDefaultDataOptions details). If NULL, default data options are used.
ModelOptions	list of ModelOptions (see getDefaultModelOptions for details). If NULL, default model options are used.
TrainOptions	list of TrainOptions (see getDefaultTrainOptions for details). If NULL, default training options are used.

Value

Returns an untrained MOFAmodel with specified data, model and training options. Next step is to train the model with runMOFA

Examples

# load data
data("CLL_data", package = "MOFAdata")
#create a MOFAmodel object
MOFAobject <- createMOFAobject(CLL_data)
# set options
TrainOptions <- getDefaultTrainOptions()
ModelOptions <- getDefaultModelOptions(MOFAobject)
DataOptions <- getDefaultDataOptions()
# prepare MOFAmodel object for training
MOFAobject <- prepareMOFA(MOFAobject, 
DataOptions = DataOptions,
ModelOptions = ModelOptions,
TrainOptions = TrainOptions
)
MOFAobject

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