Analyze single-cell omics data with scvi-tools probabilistic models.
npx skills add https://github.com/yf8578/clawomics --skill scvi-tools-yf8578
Please help me install this Agent Skill. Skill: scvi-tools Source: https://github.com/yf8578/clawomics/tree/main/skills/scvi-tools Command: npx skills add https://github.com/yf8578/clawomics --skill scvi-tools-yf8578
This Skill provides a suite of powerful probabilistic models for analyzing complex single-cell omics data, enabling deep insights into biological systems.
Use the scvi-tools skill to analyze the provided single-cell RNA sequencing data.
High-intent search queries and answers about installing and using this skill.
Cell type annotation identifies distinct cell populations within single-cell omics data. This Skill uses probabilistic generative models to accurately annotate cell types and integrate datasets across different batches or modalities.
Differential accessibility testing for ATAC-seq data performs robust statistical tests to identify regions differing between conditions. This Skill supports ATAC-seq analysis alongside scRNA-seq and multimodal data integration within an AnnData framework.
Integrating multimodal single-cell omics datasets aligns data across different modalities. This Skill provides advanced probabilistic models to integrate scRNA-seq, ATAC-seq, and multimodal data while performing dimensionality reduction.
AnnData objects are required to run single-cell dimensionality reduction with this Skill. You must have a Python environment with scvi-tools and scanpy installed to process scRNA-seq and other omics data.
Probabilistic modeling helps with differential gene expression analysis by performing robust statistical tests to identify genes differing between disease and control groups. This approach accurately models technical noise in single-cell omics data.
Yezez9Train scvi-tools models on AnnData objects for single-cell omics analysis.
TTAWDTTGenerate publication-ready scientific figures with matplotlib, seaborn, and plotly.
ovachieverApply scvi-tools probabilistic models to single-cell omics data in AnnData format.
galeepAnalyze single-cell RNA-seq and ATAC-seq data with deep generative models.
