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pd-dwi

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1.1.4 pd_dwi-1.1.4-py3-none-any.whl

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Project: pd-dwi
Version: 1.1.4
Filename: pd_dwi-1.1.4-py3-none-any.whl
Download: [link]
Size: 402733
MD5: 95afca5b44e7ef6442e0171b1b688d19
SHA256: b4e64ffcdffb6f0d124054bb9aab1db49b6a76dee3423df795e00669f72f6446
Uploaded: 2024-12-07 13:48:57 +0000

dist-info

METADATA · WHEEL · RECORD · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: pd-dwi
Version: 1.1.4
Summary: Physiologically-Decomposed Diffusion-Weighted MRI machine-learning model for predicting response to neoadjuvant chemotherapy in invasive breast cancer
Author: Maya Gilad
Author-Email: ms.maya.gilad[at]gmail.com
Home-Page: https://tcml-bme.github.io/
Project-Url: Documentation, https://pd-dwi.readthedocs.io/en/stable/
Project-Url: Repository, https://github.com/TechnionComputationalMRILab/PD-DWI
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.8.1,<3.9
Requires-Dist: Cython (<0.30.0,>=0.29.30)
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Requires-Dist: numpy (<2.0.0,>=1.22.0)
Requires-Dist: pandas (<2.0.0,>=1.4.3)
Requires-Dist: pydantic (<3.0.0,>=2.6.4)
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Requires-Dist: scikit-learn (<2.0.0,>=1.0.2)
Requires-Dist: xgboost (<2.0.0,>=1.6.1)
Provides-Extra: preprocessing
Description-Content-Type: text/markdown
[Description omitted; length: 1392 characters]

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pd_dwi-1.1.4.dist-info/RECORD — —

entry_points.txt

[console_scripts]
pd-dwi = pd_dwi.scripts.cli:pd_dwi_cli
pd-dwi-preprocessing = pd_dwi.scripts.cli:preprocessing_cli