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bio-machine-learning-atlas-mapping

Official

Map scRNA-seq data to reference atlases.

Data & Analytics#single-cell#annotation#scvi-tools#scArches#transfer-learning#scrna-seq#latents
Authorstellaromics
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Map query single-cell data to reference atlases using transfer learning with scArches.

Core Features & Use Cases

  • Transfer latent representations between query and reference scVI models
  • Label transfer via scANVI with confidence scores
  • Visualization of integration quality between datasets

Quick Start

Provide a pre-trained reference model and a query dataset, then map your data to the reference atlas using scArches surgery.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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-machine-learning-atlas-mapping
Download link: https://github.com/stellaromics/fast-bioinfo/archive/main.zip#bio-machine-learning-atlas-mapping

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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