NaroNet: discovery of tumor microenvironment elements from multiplex images.
Project description
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.
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
To install NaroNet:
pip install NaroNet
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
NaroNet-1.0.27.tar.gz
(138.4 kB
view details)
File details
Details for the file NaroNet-1.0.27.tar.gz.
File metadata
- Download URL: NaroNet-1.0.27.tar.gz
- Upload date:
- Size: 138.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94106ab5867617e5e7152ef7fad23ca179d48dc6d4de2b3ceb0a05b11f337405
|
|
| MD5 |
cda958059b44d0dcdbd155bec43e9eb3
|
|
| BLAKE2b-256 |
2ff9359f1d8bd5fd4b454c360fa2a4ba1672426cd1407eb729cd49cf567ef767
|
