TACCO

TACCO transfers annotations across single-cell, spatial, and multi-omics datasets to map cell types and states, deconvolve continuous mixtures, and enable cross-modality annotation transfer despite technical limitations such as low spatial resolution and high dropout fractions.

Key Features:

• Optimal Transport Model: Employs an optimal transport model extended with various wrappers to perform annotation transfer across datasets.
• Continuous Mixture Representation: Represents omics measurements as continuous mixtures of cells or molecules to capture continuous spectra of cell states.
• Handles Technical Limitations: Addresses technical challenges including low spatial resolution and high dropout fractions during annotation transfer.
• Versatility in Applications: Applies to cell type and state identification, spatiomolecular tissue structure analysis at cellular and molecular levels, and differentiation trajectory resolution.
• Performance Efficiency and Scalability: Matches or exceeds accuracy of specialized tools while reducing computational demands and scaling to large datasets (e.g., annotation transfer for 1 million simulated dropout observations).

Scientific Applications:

• Cell type and state annotation: Assigns cell-type and cell-state annotations across single-cell and spatial omics datasets.
• Spatiomolecular tissue analysis: Deciphers spatiomolecular tissue structures at both cellular and molecular resolutions.
• Differentiation trajectory resolution: Resolves differentiation trajectories by mapping continuous spectra of cell states.
• Biomedical integration: Supports cross-dataset annotation transfer for applications in precision medicine, developmental biology, and cancer research.

Methodology:

TACCO applies an optimal transport model extended with various wrappers and represents omics data as continuous mixtures of cells or molecules.