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This package leverages both supervised machine learning and deep learning techniques to construct robust predictive models from transcriptomic data. It is designed to train on this high-dimensional data, extract key features, and make accurate predictions. The models generated ca
pip install supervisedgrn
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
SupervisedGRN publishes 1 wheel and 1 source archive for version 0.0.1. 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 .