scDiagnostics

scDiagnostics provides diagnostic plots to assess the quality of cell type assignments from single cell gene expression profiles.

Key Features:

• Annotation Reliability Assessment: Evaluates the reliability of cell type annotations in single cell datasets.
• Gene Expression Investigation: Enables investigation of gene expression patterns across cell types.
• Cell Type Relationship Exploration: Explores relationships between different cell types in query and reference datasets to detect potential misalignments.
• Diagnostic Visualization: Provides visualization capabilities for diagnostics purposes.

Scientific Applications:

• Cell Type Annotation Quality Control: Assesses the quality and accuracy of cell type assignments from single cell gene expression data.
• Reference-Query Dataset Alignment: Detects potential misalignments between reference and query single cell datasets.

Methodology:

Generates diagnostic plots for cell type assignment quality assessment; specific computational algorithms are not detailed in the sources.