interpolate_factors: Interpolate factors in MEFISTO based on new covariate values

In bioFAM/MOFA2: Multi-Omics Factor Analysis v2

Interpolate factors in MEFISTO based on new covariate values

Description

Function to interpolate factors in MEFISTO based on new covariate values.

Usage

interpolate_factors(object, new_values)

Arguments

object	a MOFA object trained with MEFISTO options and a covariate
new_values	a matrix containing the new covariate values to inter/extrapolate to. Should be in the same format as the covariated used for training.

Details

This function requires the functional MEFISTO framework to be used in training. Use set_covariates and specify mefisto_options when preparing the training using prepare_mofa. Currenlty, only the mean of the interpolation is provided from R.

Value

Returns the MOFA with interpolated factor values filled in the corresponding slot (interpolatedZ)

Examples

# Using an existing trained model
file <- system.file("extdata", "MEFISTO_model.hdf5", package = "MOFA2")
model <- load_model(file)
model <- interpolate_factors(model, new_values = seq(0,1.1,0.01))

bioFAM/MOFA2 documentation built on June 12, 2024, 3:57 p.m.