MOTL - Multi-omics matrix factorization with transfer learning

A transfer learning algorithm for multi-omics matrix factorization called 'MOTL' (Multi-Omics Transfer Learning). 'MOTL' is a Bayesian transfer learning method, based on 'MOFA'. 'MOTL' infers latent factor values for a multi-omics target dataset, consisting of a small number of samples, by incorporating latent factor values already inferred with a 'MOFA' factorization of a large, heterogeneous, learning dataset.