scvi-tools

Maintained by k-dense-ai

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.

Current version: Unknown
License: BSD-3-Clause license
Network access: Unknown / not assessed
Review status: Not verified

Problem it solves

This catalog entry helps users find and evaluate scvi-tools for the task described by its available catalog summary. Confirm the exact scope in the linked original source when one is available.

When to use it

Consider scvi-tools when its available catalog summary matches the task at hand. When available, review the linked original source before use for precise instructions, requirements, and limitations.

scvi-tools is listed as an agent skill in RefHub. The listed maintainer is k-dense-ai. The available catalog summary is: 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. When available, review the linked original source for exact usage instructions, required tools, and limitations.

Installation and updates

These commands are displayed for copying only and are never executed on RefHub servers. Review the linked upstream source before running them.

Install command

npx skills add k-dense-ai/scientific-agent-skills --skill scvi-tools -y

Agent compatibility

No compatibility test has been recorded

Do not assume agent compatibility until documented test evidence is available.