Compute RNA velocity trajectories and latent time from spliced and unspliced transcripts.
npx skills add https://github.com/must1f/Dissertaion-Project --skill scvelo-must1f
Please help me install this Agent Skill. Skill: scvelo Source: https://github.com/must1f/Dissertaion-Project/tree/main/.agents/skills/scvelo Command: npx skills add https://github.com/must1f/Dissertaion-Project --skill scvelo-must1f
RNA velocity analysis provides directionality of gene expression changes in single-cell RNA-seq data by modeling splicing kinetics, enabling trajectory inference and future state prediction.
Run scvelo to estimate RNA velocity on an AnnData object with spliced and unspliced layers and visualize velocity embeddings.
High-intent search queries and answers about installing and using this skill.
Compute RNA velocity trajectories by applying stochastic or dynamical models to spliced and unspliced transcript layers in an AnnData object, yielding latent time estimation and velocity graphs for trajectory inference.
RNA velocity analysis models splicing kinetics to predict future cell states, enabling trajectory inference, pseudotime ordering, and driver-gene identification across developmental single-cell RNA-seq datasets.
Yes, scvelo integrates directly with scanpy workflows and requires a working AnnData object containing spliced and unspliced transcript layers to estimate and visualize velocity embeddings.
Yes, apply stochastic or dynamical models to your single-cell data to identify driver genes, infer fate decisions, and estimate latent time for comparing developmental trajectories across conditions.
You need a working AnnData workflow with spliced and unspliced layers to estimate latent time and generate velocity graphs for single-cell lineage inference.
Use dynamical models for more accurate latent time estimation and driver-gene identification in complex trajectories, while stochastic models offer robust velocity estimation for broader single-cell datasets.
AlterLab-IEUAnalyze RNA velocity to infer cell state transitions from spliced and unspliced counts.
swaruplabCompute RNA velocity trajectories from scRNA-seq data using scVelo models.
jasrajtulsiAnalyzes scVelo RNA velocity dynamics in AnnData datasets to infer cell-state transitions and trajectories.
Estrella-231Infer RNA velocity and cell fate trajectories from single-cell RNA-seq AnnData.
