Aligning Biological Manifolds for Integrated Analysis of Single-Cell Data

To develop novel statistical approaches for integrating multiple single-cell variation datasets.

The Stegle lab has developed software and methods building on their model for mutiomics factor analysis, MOFA. This model provides a general framework for the integration of multiomics datasets in a completely unsupervised fashion. Developments are described in their preprint.