mosaicMPI

mosaicMPI discovers and integrates molecular programs across diverse cohorts and -omics modalities, representing biological themes as a network that enables systematic exploration of relationships between cell types, states, and datasets.

Key Features:

• Modular Data Integration: Integrates data across multiple platforms and -omics modalities within and across datasets.
• Molecular Program Discovery: Discovers low to high-resolution molecular programs representing both cell types and states.
• Network Construction: Constructs a network of biological themes from integrated molecular programs.
• Statistical Annotation Propagation: Propagates clinical and molecular annotations from cohorts onto the network of programs.
• Reference Map Generation: Generates a reference map onto which new datasets can be rapidly mapped.

Scientific Applications:

• Tumor Sample Characterization: Enables deep understanding of individual tumor samples through integration of single cell and bulk programs.
• Cross-Modal Relationship Exploration: Facilitates systematic exploration of relationships between modalities in complex diseases such as glioblastoma.
• Multi-Cohort Integration: Robustly integrates single cell and bulk programs across multiple platforms from existing datasets.

Methodology:

mosaicMPI performs mosaic integration across diverse cohorts and datatypes to discover molecular programs, then integrates these programs within and across datasets into a network representing biological themes.