scvi-tools

1. **Use raw counts**: Always provide unnormalized count data to models

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Evaluated by: xiaomi/mimo-v2-flash:free

Last evaluated: March 29, 2026

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---
name: scvi-tools
description: Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.
license: BSD-3-Clause license
metadata:
    skill-author: K-Dense Inc.
---

# scvi-tools

## Overview

scvi-tools is a comprehensive Python framework f...

Full prompt length: 7235 characters

Tools & Technologies

• python
• Python