compare_factors {MOFA2} | R Documentation |
Different MOFA
objects are compared in terms of correlation between their factors.
compare_factors(models, ...)
models |
a list with |
... |
extra arguments passed to pheatmap |
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.
Plots a heatmap of the Pearson correlation between latent factors across all input models.
# 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))