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Aligning Biological Manifolds for Integrated Analysis of Single-Cell Data

Focus Manifolds

Project Goal

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

Results & Resources

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.


Lead Investigator

Oliver Stegle
Oliver Stegle