Documentation#
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 Weizmann Institute of Science.
scvi-tools
has two components:
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.
If you find a model useful for your research, please consider citing the scvi-tools manuscript as well as the publication describing the model, which can be found in the corresponding documentation.
New to scvi-tools? Check out the installation guide.
The user guide provides distilled mathematical descriptions of the models implemented in scvi-tools and connects the math with the code.
The API reference contains a detailed description of the scvi-tools API.
The tutorials walk you through real-world applications of scvi-tools models. Developer tutorials help you build new probabilistic models.
Need help? Reach out on our forum to get your questions answered!
Find a bug? Interested in improving scvi-tools? Checkout our GitHub for the latest developments.