Class to store a mofa model

Description

The MOFA is an S4 class used to store all relevant data to analyse a MOFA model

Slots

data

The input data

intercepts

Feature intercepts

samples_metadata

Samples metadata

features_metadata

Features metadata.

imputed_data

The imputed data.

expectations

expected values of the factors and the loadings.

dim_red

non-linear dimensionality reduction manifolds.

training_stats

model training statistics.

data_options

Data processing options.

training_options

Model training options.

stochastic_options

Stochastic variational inference options.

model_options

Model options.

dimensions

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.

on_disk

Logical indicating whether data is loaded from disk.

cache

Cache.

status

Auxiliary variable indicating whether the model has been trained.