mumosa

mumosa provides assorted utilities for multi-modal analyses of single-cell datasets, including functions to combine multiple modalities for downstream analysis, perform MNN-based batch correction across multiple modalities, and compute correlations between assay values for different modalities.

Key Features:

• Multi-modal combination: Functions combine multiple modalities for downstream analysis.
• MNN-based batch correction: Performs batch correction across multiple modalities using mutual nearest neighbors.
• Cross-modal correlation: Computes correlations between assay values for different modalities.

Scientific Applications:

• Single-cell multi-omics analysis: Enables integrated analysis of datasets with multiple molecular modalities measured in single cells.
• Batch correction: Corrects technical batch effects across multi-modal single-cell experiments.
• Cross-modal association: Identifies relationships between different molecular layers in single cells.

Methodology:

The package uses mutual nearest neighbor (MNN) based methods for batch correction across multiple modalities.