scGPS

scGPS implements two main algorithms to identify single-cell subpopulations and investigate their relationships.

Key Features:

• SCORE (Stable Clustering at Optimal REsolution): Identifies subpopulations within single-cell data.
• scGPS (single cell Global Predictions of Subpopulation): Investigates the relationships between identified subpopulations.

Scientific Applications:

• Single-cell subpopulation identification: Enables discovery of distinct cell subpopulations from single-cell data through stable clustering at optimal resolution.
• Subpopulation relationship analysis: Facilitates investigation of biological relationships between identified single-cell subpopulations.

Methodology:

The package implements SCORE for subpopulation identification followed by scGPS for relationship analysis between subpopulations.