scvitools-docs-truly-complete - Complete scvi-tools Documentation Guide
Comprehensive documentation assistance for scvi-tools deep learning single-cell analysis toolkit
Tags
Updated: 2026-06-30Capabilities
Typical Inputs
Typical Outputs
What this skill does
- load single-cell data
- train SCVI model
- setup AnnData
- run differential expression
- perform batch correction
- transfer cell labels
- train multi-modal models
- tune hyperparameters
- upload model
- download model
- save model
- load model
- generate synthetic data
- configure training callbacks
Inputs
- single-cell data files
- h5ad files
- AnnData objects
- model parameters
- training parameters
- cell type labels
- batch information
- protein expression data
- HuggingFace Hub credentials
Outputs
- trained model
- latent space representation
- differential expression results
- cell type annotations
- integrated data
- spatial mapping
- model files
Requirements
- scvi-tools installed
- Python environment
- deep learning framework
- AnnData support
- HuggingFace Hub access