SuperSCC: Super Single Cell clustering

SuperSCC (Super single cell clustering), a novel computational framework that enhances scRNA-seq analysis by enabling hierarchical clustering, marker gene detection, and robust label transfer across multiple datasets without the need for batch correction. SuperSCC performs iterative clustering, gene module detection, and cluster merging to construct cell type hierarchies and gene modules at multiple levels.

Tutorial

• Feature selection
• Label transfer
• Clustering
• Gene module detection and evaluation
  • Analysis of Gene Modules
  • Summary
  • 1. Common Biological Pathways
  • 2. Cellular Processes Involved
  • 3. Potential Tissue/Cell Type Specificity
  • 4. Disease Associations
  • 5. Functional Relationships Between Genes
  • Summary
• Retrival augment generation (RAG)
  • Detailed Evidence
  • Final Answer