scgpt
CommunityAnnotate single-cell data with scGPT for biology research.
Education & Research#cell embedding#cell-type annotation#single-cell biology#scGPT#gene representation
Authorguanxiaol
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of embedding and annotating single-cell expression data with scGPT, a foundation model for single-cell biology.
Core Features & Use Cases
- Cell Embedding: Generate cell embeddings from AnnData for clustering and integration.
- Cell-Type Annotation: Perform zero-shot or fine-tuned cell-type annotation.
- Gene-Level Representation: Obtain gene-level representations for perturbation and GRN tasks.
- Use Case: Ideal for researchers in single-cell biology who need to analyze and annotate large datasets to understand cellular processes.
Quick Start
Run the scgpt skill to produce cell embeddings from your AnnData file.
Dependency Matrix
Required Modules
scgpt
Components
scriptsreferences
💻 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: scgpt Download link: https://github.com/guanxiaol/open-science/archive/main.zip#scgpt Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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