{"data":{"full_name":"aapupu/MIST","name":"MIST","description":"An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis","stars":14.0,"forks":1.0,"language":"Jupyter Notebook","license":"GPL-3.0","archived":0.0,"subcategory":"single-cell-omics-integration","last_pushed_at":"2025-04-05T07:44:41+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":0.0,"adoption_score":5.0,"maturity_score":16.0,"community_score":6.0,"quality_score":27.0,"quality_tier":"experimental","risk_flags":"['stale_6m', 'no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-08T00:15:04.386281+00:00"}}