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MIST: an interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis
pip install mist-vae
PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.21.6>=1.3.5>=0.8.0>=1.7.3>=1.0.2>=1.9.3>=0.12.0>=1.13.0>=0.6.0>=4.64.1>=1.0.3>=1.5.7>=0.10.2mist-vae publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .