bio-single-cell
OfficialSingle-cell analysis with scvi-tools.
Education & Research#deep learning#bioinformatics#single-cell#batch correction#data integration#scvi-tools#qc analysis
Authorfrumu-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines complex single-cell RNA sequencing data analysis by leveraging powerful deep learning models for tasks like batch correction, integration, and quality control.
Core Features & Use Cases
- Data Integration & Batch Correction: Corrects for technical variations between datasets using scVI/scANVI.
- Multi-modal Analysis: Analyzes CITE-seq and Multiome data with totalVI and MultiVI.
- Quality Control: Performs essential QC analysis to ensure data reliability.
- Use Case: Analyze a newly generated scRNA-seq dataset to identify cell types, correct for batch effects from different experimental runs, and visualize the integrated data.
Quick Start
Run standard QC analysis on your single-cell data using the provided script.
Dependency Matrix
Required Modules
pythonbash
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: bio-single-cell Download link: https://github.com/frumu-ai/tandem/archive/main.zip#bio-single-cell Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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