Metadata-Version: 2.1
Name: ctopt
Version: 0.1.2
Summary: Tool used for determining optimal number of cell type clusters in spatial transcriptomics samples
License: MIT
Keywords: cell type,annotation,spatial transcriptomics
Author: Nikola Milicevic
Author-email: nikola260896@gmail.com
Requires-Python: >=3.9.0,<3.11
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: GPU :: NVIDIA CUDA
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Dist: flash-attn (==1.0.4)
Requires-Dist: scanpy (>=1.10.1,<2.0.0)
Requires-Dist: scikit-learn (>=1.5.1,<2.0.0)
Requires-Dist: torch (>=2.4.0,<3.0.0)
Requires-Dist: tqdm (>=4.66.5,<5.0.0)
Requires-Dist: wandb (>=0.17.1,<0.18.0)
Description-Content-Type: text/markdown

# ctopt
A tool that is used to determine what is the optimal number of cell type clusters for given spatial transcriptomics sample using single cell reference. 

