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Python package for cell identity recognition at individual cell level from single-cell RNA-seq data. Cell types for unknown cells are predicted, through a statistical approach, using raw gene expresssion data among a list of cells, and a gene marker dataset consisting of a list o
pip install ramin123455
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.9.1>=1.24.4>=2.1.4>=5.16.1>=1.9.3>=1.3.0>=1.11.1>=0.5.3Ramin123455 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 .