Metadata-Version: 2.1
Name: hummuspy
Version: 0.1.7
Summary: HuMMuS is a novel method for the inference of regulatory mechanisms from multi-omics data with any type and number of omics, through a heterogeneous multilayer network framework.
License: GPL-3.0-only
Author: Rémi Trimbour
Author-email: remi.trimbour@pasteur.fr
Requires-Python: >=3.8
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: bokeh (>=2.4.2,!=3.0.*)
Requires-Dist: dask (>=2023.0.0,<2024.0.0)
Requires-Dist: distributed (>=2023.0.0,<2024.0.0)
Requires-Dist: joblib (>=1.3.0,<2.0.0)
Requires-Dist: matplotlib (>=3.4.3,<4.0.0)
Requires-Dist: multixrank (>=0.1,<0.2)
Requires-Dist: numpy (>=1.24.2,<2.0.0)
Requires-Dist: pandas (>=2.0.0,<3.0.0)
Requires-Dist: pyyaml (>=6.0,<7.0)
Requires-Dist: rich (>=10.12.0,<11.0.0)
Requires-Dist: scipy (>=1.8.0,<2.0.0)
Requires-Dist: tqdm (>=4.65.0,<5.0.0)
Description-Content-Type: text/markdown

Python framework of HuMMuS.

It is the backbone code running when processing random walk exploration with the R HuMMuS package.
