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scvi-basic

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scVI-based integration for scRNA-seq data

Education & Research#integration#single-cell#scvi-tools#deep-learning#scrna-seq#latent-space#scvi
Authortony-zhelonkin
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Performs unsupervised integration and batch correction for scRNA-seq data using scVI to align datasets and remove batch effects while preserving biological variation.

Core Features & Use Cases

  • Unsupervised integration across batches to build a shared latent space for downstream analysis.
  • Preprocessing support for scANVI workflows and downstream differential expression analyses in scRNA-seq projects.
  • Flexible, GPU-accelerated training with scVI-tools and anndata integration.

Quick Start

Train an SCVI model on your raw-count AnnData to obtain a latent representation and batch-corrected expression.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: scvi-basic
Download link: https://github.com/tony-zhelonkin/SciAgent-toolkit/archive/main.zip#scvi-basic

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