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By k-dense-ai

scvi-tools

k-dense-ai1.7k installs

Turn single-cell measurements into model-based insights.

What it does

Fit single-cell omics models to produce integrated representations, annotations, multimodal estimates, and posterior differential expression.

When to use it

Use for generative modeling, reference mapping, multimodal analysis, or model-based uncertainty rather than standard preprocessing and exploratory analysis.

How to use it

Give it single-cell measurements and an analysis request; it registers and trains an appropriate model, evaluates its fit, and saves representations, model data, and reproducibility details in the project.

What you provide

  • Your files

Uses

Good to know

  • advertises something the task does not need

Latest review

What you need · 5

Requires Python 3.12 or later; the installation example creates a dedicated Python 3.13 environment.

Requires scvi-tools and model-specific dependencies; the installation pins scvi-tools to 1.5.1.


Access · 4

This skill

arXiv

Read

Fetches the paper's citation record

scvi-tools

Execute

Installs scvi-tools