NuMeTriS

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0.1.1 NuMeTriS-0.1.1-py3-none-any.whl

Wheel Details

Project: NuMeTriS
Version: 0.1.1
Filename: NuMeTriS-0.1.1-py3-none-any.whl
Download: [link]
Size: 44339
MD5: b05ae19776382ae720962911fc031af7
SHA256: 589859269d0546ccd566518ed43c282dd4acea849d735a2d61558b950a050064
Uploaded: 2024-10-08 09:58:09 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: NuMeTriS
Version: 0.1.1
Summary: NuMeTris is a package for Maximum-Entropy models for triadic pattern detection. It contains known models such as DBCM and RBCM for binary motif analysis, and contain mixture models such as DBCM+CReMa and RBCM+CRWCM for weighted triadic motif analysis. The models are solved and routine are present for numeric ensemble generation and the computation of the triadic z-scores for triadic sub-graph occurrence, average flux and intensity.
Author-Email: Marzio Di Vece <marzio.divece[at]imtlucca.it>
Project-Url: Homepage, https://github.com/MarsMDK/NuMeTriS
Keywords: maximum entropy methods,network motifs,pattern detection,graph,network,entropy
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.9
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: numba (>=0.56.4)
Requires-Dist: matplotlib (>=3.6.1)
Requires-Dist: tomli; python_version >= "3.9"
Requires-Dist: pytest; extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 9359 characters]

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top_level.txt

NuMeTriS