loadModel: loading a trained MOFA model

In MOFA: Multi-Omics Factor Analysis (MOFA)

Description

Method to load a trained MOFA model.
The training of MOFA is done using a Python framework, and the model output is saved as an .hdf5 file, which has to be loaded in the R package.

Usage

loadModel(file, object = NULL, sortFactors = TRUE, minR2 = 0.01)

Arguments

file	an hdf5 file saved by the MOFA python framework.
object	either NULL (default) or an an existing untrained MOFA object. If NULL, the MOFAmodel object is created from the scratch.
sortFactors	boolean indicating whether factors should be sorted by variance explained (default is TRUE)
minR2	minimum R2 threshold to call 'active' factors (default is 0.01).

Value

a MOFAmodel model.

Examples

# path to the hdf5 file
filepath <- system.file("extdata", "CLL_model.hdf5", package = "MOFAdata")
# load the model
MOFAobject <- loadModel(filepath)

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