About
scvi-tools is a specialized framework designed for the probabilistic modeling of single-cell genomics data, providing robust tools for tasks like dimensionality reduction, batch correction, and multimodal integration. Built on PyTorch, it enables researchers and developers to apply sophisticated deep learning models to scRNA-seq, scATAC-seq, and spatial transcriptomics datasets with a unified API. This skill streamlines the entire analysis pipeline from data preprocessing and covariate registration to differential expression and cell type annotation, ensuring best practices like raw count utilization and GPU acceleration are maintained throughout the workflow.
