scvi-tools for Single-Cell Analysis

scvi-tools provides a comprehensive Python framework for analyzing single-cell genomics data through deep generative models built on PyTorch and PyTorch Lightning. This skill enables Claude to guide users through complex bioinformatics workflows including dimensionality reduction, batch correction, and multimodal data integration for modalities like scRNA-seq, scATAC-seq, and spatial transcriptomics. It automates the implementation of standardized API patterns, ensuring best practices like raw count utilization and proper covariate registration are followed for robust, scalable biological insights.

주요 기능

사용 사례