Metadata-Version: 2.1
Name: NaroNet
Version: 1.0.3
Summary: NaroNet: discovery of tumor microenvironment elements from multiplex images.
Home-page: https://github.com/djimenezsanchez/NaroNet
Author: Daniel Jiménez-Sánchez
Author-email: danijimnzs@gmail.com
License: BSD 3-Clause License
Project-URL: Bug Tracker, https://github.com/djimenezsanchez/NaroNet/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: BSD License
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE.txt

# NaroNet: discovery of tumor microenvironment elements from multiplex imaging.
Trained only with patient-level labels, NaroNet quantifies the phenotypes, neighborhoods, and neighborhood interactions that have the highest influence on the predictive task. This is the python implementation as described in our [*paper*](https://www.sciencedirect.com/science/article/pii/S1361841522000366).

### Installation
For GPU support, it is crucial to install the specific versions of CUDA that are compatible with the version of Pytorch.
For further information follow our [*github page*](https://github.com/djimenezsanchez/NaroNet) 

To install NaroNet:
```sh
pip install NaroNet
```

