Metadata-Version: 2.3
Name: DeepSomaticCopy
Version: 0.0.26
Summary: Copy number calling on single cell DNA sequencing data
Project-URL: Homepage, https://github.com/elkebir-group/DeepCopy
Project-URL: Bug Tracker, https://github.com/pypa/sampleproject/issues
Author-email: Stefan Ivanovic <stefan4@illinois.edu>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: numpy>=1.17.0
Requires-Dist: pandas>=1.2.3
Requires-Dist: pysam>=0.15.3
Requires-Dist: statsmodels>=0.13.5
Requires-Dist: torch>=1.10.0
Requires-Dist: tqdm
Description-Content-Type: text/markdown

# DeepSomaticCopy

The pip package "DeepSomaticCopy" implements our "DeepCopy" algorithm for single cell copy number calling.
DeepCopy specifically works on single cell DNA sequencing data of tumors, and reconstructs copy number profiles using an evolution-aware deep reinforcement learning algorithm. 
Additional informaiton is provided on our [GitHub page](https://github.com/elkebir-group/DeepCopy). 
