spatial-velocity

What problem does it solve?

This Skill automates the complex process of inferring cellular dynamics and directional movement from spatial transcriptomics data, which traditionally requires manual configuration of sophisticated bioinformatics pipelines.

Core Features & Use Cases

• RNA Velocity Analysis: Computes RNA velocity vectors to predict future cell states.
• Spatial Integration: Overlays velocity vectors onto spatial expression maps or UMAP embeddings.
• Kinetic Modeling: Supports stochastic, deterministic, and dynamical models for RNA kinetics.
• Use Case: Analyze how cells are differentiating or migrating within a tissue by visualizing the predicted direction of gene expression changes over time.

Quick Start

Compute RNA velocity and map the arrows onto my tissue using the default stochastic model.