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A Bayesian optimization framework for multimodal registration of highly multiplexed single-cell spatial proteomics data
pip install twocan
PyPI declares 26 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.19.0>=1.3.0>=4.5.0>=0.18.0>=1.0.0>=0.1.0>=3.0.0>=2021.1.1>=3.3.0>=1.7.0The compact report shows 12 of 26 declarations. The interactive dependency graph loads the complete metadata.
twocan publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
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 .