Temporal data: Simulate an example data set | MEFISTO framework | Create a MOFA object with covariates | Prepare a MOFA object | Run MOFA | Down-stream analysis | Variance explained per factor | Relate factors to the covariate | Exploration of weights | Interpolation

Load libraries | Is MOFA the right method for my data? | Preprocessing the data | Normalisation | Feature selection | Create the MOFA object | List of matrices | Long data.frame | Define options | Define data options | Define model options | Define training options | Build and train the MOFA object | Downstream analysis

Introduction | Load libraries | Load trained model | Overview of data | Add metadata to the model | Variance decomposition | Visualisation of Factors | Visualisation of factors one at a time | Visualisation of combinations of factors | Visualisation of feature weights | Visualisation of covariation patterns in the input data | Heatmaps | Scatter plots | Non-linear dimensionality reduction | Other functionalities | Renaming dimensions | Extracting data for downstream analysis