scTreeViz

scTreeViz provides classes to support interactive data aggregation and visualization of single cell RNA-seq datasets with hierarchies such as cell clusters at different resolutions.

Key Features:

• TreeIndex class: Provides methods to manage hierarchy and split the tree at a given resolution or across resolutions.
• TreeViz class: Extends SummarizedExperiment and performs quick aggregations on the count matrix defined by clusters.

Scientific Applications:

• Hierarchical single cell RNA-seq analysis: Enables exploration of cell cluster hierarchies at multiple resolutions in single cell RNA-seq datasets.
• Count matrix aggregation: Supports rapid aggregation of expression data based on cluster assignments for downstream analysis.

Methodology:

The TreeViz class extends SummarizedExperiment and performs aggregations on count matrices defined by clusters.