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ONTraC

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0.0.5 ONTraC-0.0.5-py3-none-any.whl

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Project: ONTraC
Version: 0.0.5
Filename: ONTraC-0.0.5-py3-none-any.whl
Download: [link]
Size: 44117
MD5: 83f9bb1fbd4bf238901360d3f724eec4
SHA256: 6bf8704f22df9b06d97bcac2025c10ef478599c810bc13cf4fb0c4568cd85cc0
Uploaded: 2024-04-25 15:51:54 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: ONTraC
Version: 0.0.5
Summary: A niche-centered, machine learning method for constructing spatially continuous trajectories
Author-Email: Wen Wang <wwang.bio[at]gmail.com>, Shiwei Zheng <swzheng29[at]gmail.com>, Crystal Shin <sjcshin5040[at]gmail.com>, Guo-Cheng Yuan <gcyuan[at]gmail.com>
Project-Url: Homepage, https://github.com/gyuanlab/ONTraC
Project-Url: Repository, https://github.com/gyuanlab/ONTraC
Project-Url: Issue Tracker, https://github.com/gyuanlab/ONTraC/issues
License: MIT
Keywords: deep-learning,pytorch,pytorch geometric,trajectory inference,spatial omics
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: ==3.11.*
Requires-Dist: pyyaml (==6.0.1)
Requires-Dist: pandas (==2.2.1)
Requires-Dist: torch (==2.2.1)
Requires-Dist: torch-geometric (==2.5.0)
Requires-Dist: matplotlib; extra == "analysis"
Requires-Dist: seaborn; extra == "analysis"
Provides-Extra: analysis
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 5930 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

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ONTraC/data.py sha256=vnQP1DQv180ToSvjfOF9CS-ssuBrvo-liEdum6fMXq8 3725
ONTraC/log.py sha256=CIL-BbpuTmZRaMztZjxu2dxTS6C5BnaJNAREP9AAV2E 884
ONTraC/version.py sha256=v0zqRembIW__d7HVDd71J2eoXGtALnzdY8JdBVk-BPY 21
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ONTraC/bin/GP.py sha256=xk8KPZPoDoRSZ3orEcahujKhf20z6ZJoOgKIXxyB2S4 3085
ONTraC/bin/NTScore.py sha256=CoFjhv2KEpZ0gmdOH3qznHMem-RFsYhtpmmmtTM_Ra4 1434
ONTraC/bin/ONTraC.py sha256=_ycg9Evjku55JQmQEhRiUECeSlZrldTeV_4V19vF9AA 4053
ONTraC/bin/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
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ONTraC-0.0.5.dist-info/RECORD — —

top_level.txt

ONTraC

entry_points.txt

[console_scripts]
GP = ONTraC.bin.GP:main
NTScore = ONTraC.bin.NTScore:main
ONTraC = ONTraC.bin.ONTraC:main
createDataSet = ONTraC.bin.createDataSet:main