compare_factors: Plot the correlation of factors between different models

In MOFA2: Multi-Omics Factor Analysis v2

Description

Different MOFA objects are compared in terms of correlation between their factors.

Usage

compare_factors(models, ...)

Arguments

models	a list with MOFA objects.
...	extra arguments passed to pheatmap

Details

If assessing model robustness across trials, the output should look like a block diagonal matrix, suggesting that all factors are robustly detected in all model instances.

Value

Plots a heatmap of the Pearson correlation between latent factors across all input models.

Examples

# Using an existing trained model on simulated data
file <- system.file("extdata", "model.hdf5", package = "MOFA2")
model1 <- load_model(file)
model2 <- load_model(file)

# Compare factors between models
compare_factors(list(model1,model2))

MOFA2 documentation built on Nov. 8, 2020, 7:28 p.m.