Scvi 도구
원문: scvi-tools
This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reductio
무엇을 하나요
scvi tools Overview scvi tools is a comprehensive Python framework for probabilistic models in single cell genomics. Built on PyTorch and PyTorch Lightning, it provides deep generative models using variational inference for analyzing diverse single cell data modalities. When to Use This Skill Use this skill when: Analyzing single cell RNA seq data (dimensionality reduction, batch correction, integration) Working with single cell ATAC seq or chromatin accessibility data Integrating multimodal data (CITE seq, multiome, paired/unpaired datasets) Analyzing spatial transcriptomics data (deconvolution, spatial mapping) Performing differential expression analysis on single cell data Conducting cell…
실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.