Description: scvi-tools(single-cell variational inference tools) is a package for end-to-end analysis of single-cell omics data primarily developed and maintained by the Yosef Lab at UC Berkeley and the Weizman...
Menu Expand Light mode Dark mode Auto light/dark mode Hide navigation sidebar Hide table of contents sidebar Toggle site navigation sidebar scvi-tools Toggle Light / Dark / Auto color theme Toggle table of contents sidebar Installation Tutorials Toggle child pages in navigation Introduction to scvi-tools Data loading and preparation Using Python in R with reticulate Atlas-level integration of lung data Integrating datasets with scVI in R Integration and label transfer with Tabula Muris Reference mapping wit
Interface for easy use of a range of probabilistic models for single-cell omics (e.g., scVI, scANVI, totalVI).
Tools to build new probabilistic models, which are powered by PyTorch, PyTorch Lightning, and Pyro.