scientific-gpu-singlecell
CommunityGPU-accelerated single-cell analysis pipeline.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The GPU-accelerated single-cell analysis pipeline reduces the time and resources required to process and analyze very large single-cell datasets by leveraging GPU acceleration.
Core Features & Use Cases
- GPU-accelerated preprocessing, QC, HVG selection, and scaling on large datasets
- GPU-based PCA/kNN, Leiden/Louvain clustering, and GPU embeddings (UMAP/t-SNE)
- Designed for large-scale (>1M cells), multi-sample integration, and benchmarking scenarios
Quick Start
Run the GPU-accelerated single-cell pipeline on your AnnData object to perform pre-processing, PCA, clustering, and embedding.
Dependency Matrix
Required Modules
None requiredComponents
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: scientific-gpu-singlecell Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-gpu-singlecell Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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