https://pypi.org/project/sicta/ Recent updates to the Python Package Index for sICTA en https://pypi.org/project/sicta/1.0.2/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Tue, 25 Jun 2024 13:33:48 GMT https://pypi.org/project/sicta/1.0.1/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Tue, 25 Jun 2024 13:29:09 GMT https://pypi.org/project/sicta/1.0.0/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Tue, 25 Jun 2024 13:07:31 GMT https://pypi.org/project/sicta/0.0.3/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Tue, 25 Jun 2024 12:28:56 GMT https://pypi.org/project/sicta/0.0.2/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Mon, 24 Jun 2024 07:52:41 GMT https://pypi.org/project/sicta/0.0.1/ A marker-based cell type annotation method that combines the self-training strategy with pseudo-labeling and the nonlinear association capturing capability of Transformer. chenhg25@mail2.sysu.edu.cn Mon, 24 Jun 2024 07:49:50 GMT