CellMixS

CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell transcriptome data with single cell resolution.

Key Features:

• Cell-specific mixing evaluation: Metrics assess batch effects and data integration at single cell resolution.
• Multi-level visualization and summarization: Results can be visualized and summarised on cell, celltype or dataset level.

Scientific Applications:

• Batch effect assessment: Evaluation of batch effects in single cell transcriptome data.
• Data integration evaluation: Assessment of data integration performance in single cell transcriptome data.
• Batch effect correction validation: Evaluation of batch effect correction methods in single cell transcriptome data.

Methodology:

CellMixS computes cell-specific metrics for batch effect evaluation and enables visualization and summarization across cell, celltype, and dataset levels.