{"package": "sicta-chg", "summary": "A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer.", "pypi_url": "https://pypi.org/project/sicta-chg", "piwheels_url": "https://www.piwheels.org/project/sicta-chg", "releases": {}}