Identify cellular trajectories from scRNA-seq data using scVelo dynamical models.
npx skills add https://github.com/crazymsn/academic-skills --skill scvelo-crazymsn
Please help me install this Agent Skill. Skill: scvelo Source: https://github.com/crazymsn/academic-skills/tree/main/academic-skills/scvelo Command: npx skills add https://github.com/crazymsn/academic-skills --skill scvelo-crazymsn
RNA velocity analysis enables reconstruction of developmental trajectories and cell fate decisions from snapshot scRNA-seq data by modeling splicing dynamics.
Run the velocity workflow on an AnnData object containing spliced and unspliced layers to compute velocities and latent time.
High-intent search queries and answers about installing and using this skill.
To infer cellular trajectories from single-cell RNA velocity data, you apply dynamical or stochastic models to spliced and unspliced counts in a prepared AnnData object to compute velocity fields, latent times, and driver genes for lineage tracing.
RNA velocity reconstructs developmental trajectories and cell fate decisions from scRNA-seq data by modeling splicing dynamics. You need spliced and unspliced count layers in your AnnData object to compute the directionality of gene regulation.
Yes, you can integrate velocity visualizations directly into Scanpy workflows. The tool projects velocity fields and latent time estimates onto existing UMAP embeddings to generate publication-ready figures for downstream analysis.
Yes, running dynamical or stochastic velocity models requires a properly prepared AnnData object that already includes a computed neighbors graph and highly variable gene (HVG) selection to ensure accurate latent time estimation.
The best way to identify driver genes from scRNA-seq lineage tracing is to apply dynamical velocity models to your spliced and unspliced counts, which isolates genes directing cell fate decisions for downstream analyses.
OwnLabAICompute RNA velocity and latent time from scRNA-seq data.
fuzzy-dynamicsAnalyze RNA velocity in single-cell RNA-seq data with scVelo.
SoljournerGenerate publication-ready engineering plots from data using Matplotlib.
mkurmanAnalyze RNA velocity in single-cell RNA-seq data with scVelo models.
