HGC

HGC conducts hierarchical clustering on large-scale single-cell RNA-seq (scRNA-seq) data by constructing a dendrogram of cells on their shared nearest neighbor (SNN) graph.

Key Features:

• Graph Construction: HGC provides functions for building shared nearest neighbor (SNN) graphs from scRNA-seq data.
• Hierarchical Clustering: HGC provides functions for conducting hierarchical clustering directly on the constructed graph.

Scientific Applications:

• Single-Cell RNA-Seq Analysis: HGC enables hierarchical clustering of large-scale scRNA-seq datasets for cell type identification and characterization.

Methodology:

HGC constructs a dendrogram of cells on their shared nearest neighbor (SNN) graph.