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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

NameRequiredDescriptionDefault
groupsNoKey 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'.
modelNoThe PAGA connectivity model.v1.2
neighbors_keyNoIf specified, paga looks .uns[neighbors_key] for neighbors settings and uses the corresponding connectivities and distances.
use_rna_velocityNoUse 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'].

Input Schema (JSON Schema)

{ "description": "Input schema for the Partition-based Graph Abstraction (PAGA) tool.", "properties": { "groups": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "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'.", "title": "Groups" }, "model": { "default": "v1.2", "description": "The PAGA connectivity model.", "enum": [ "v1.2", "v1.0" ], "title": "Model", "type": "string" }, "neighbors_key": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "If specified, paga looks .uns[neighbors_key] for neighbors settings and uses the corresponding connectivities and distances.", "title": "Neighbors Key" }, "use_rna_velocity": { "default": false, "description": "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'].", "title": "Use Rna Velocity", "type": "boolean" } }, "title": "PAGAModel", "type": "object" }

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