paga
Partition-based Graph Abstraction tool for single-cell RNA sequencing analysis. Abstracts cell populations into graphs, identifies clusters, and models connectivity using RNA velocity or predefined groups.
Instructions
Partition-based graph abstraction
Input Schema
Name | Required | Description | Default |
---|---|---|---|
groups | No | Key for categorical in adata.obs. You can pass your predefined groups by choosing any categorical annotation of observations. Default: The first present key of 'leiden' or 'louvain'. | |
model | No | The PAGA connectivity model. | v1.2 |
neighbors_key | No | If specified, paga looks .uns[neighbors_key] for neighbors settings and uses the corresponding connectivities and distances. | |
use_rna_velocity | No | Use RNA velocity to orient edges in the abstracted graph and estimate transitions. Requires that adata.uns contains a directed single-cell graph with key ['velocity_graph']. |