In a cell, there is a multitude of processed happening simultaneously, it's only that we don't see them. There is some hope to learn something about them though. Using some measurements that describe the state of cells such as gene expression, we can try to construct some factors that would explain the data best under some modelling assumptions.

We designed MOFA+ to learn these latent factors on multiple domains of data (we call them views), to be readily applied both to bulk and to single-cell datasets, and to be easy to pick up to use on your data.