MOFA+: a statistical framework for comprehensive integration of multi-modal single-cell data

Technological advances have enabled the profiling of multiple molecular layers at single-cell resolution, assaying cells from multiple samples or conditions. Consequently, there is a growing need for computational strategies to analyze data from complex experimental designs that include multiple data modalities and multiple groups of samples. We present Multi-Omics Factor Analysis v2 (MOFA+), a statistical framework for the comprehensive and scalable integration of single-cell multi-modal data. MOFA+ reconstructs a low-dimensional representation of the data using computationally efficient variational inference and supports flexible sparsity constraints, allowing to jointly model variation across multiple…

• DK
  Deutsches Krebsforschungszentrum
• CR
  Cancer Research UK
• UO
  University of Cambridge
• BF
  Bundesministerium für Bildung und Forschung
• MO
  Ministry of Foreign Affairs