MOFA is an S4 class used to store all relevant data to analyse a MOFA model
The input data
The imputed data.
expected values of the factors and the loadings.
non-linear dimensionality reduction manifolds.
model training statistics.
Data processing options.
Model training options.
Stochastic variational inference options.
Dimensionalities of the model: M for the number of views, G for the number of groups, N for the number of samples (per group), D for the number of features (per view), K for the number of factors.
Logical indicating whether data is loaded from disk.
Auxiliary variable indicating whether the model has been trained.
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