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UniVI: a scalable multi-modal variational autoencoder toolkit for seamless integration and analysis of multimodal single-cell data.
pip install univi
PyPI declares 16 unique dependency rules for this release. Environment markers are shown when supplied by the project.
univi publishes 1 wheel and 1 source archive for version 0.4.7. Wheel platform tags: any.
Declared Python classifiers: 3.10.
PyPI lists 37 releases with files. The first dated release is ; 37 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .