Metadata-Version: 2.1
Name: HoloNet
Version: 0.1.0
Summary: Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Home-page: UNKNOWN
Author: lihaochen
Author-email: 1421127652@qq.com
License: MIT License
Platform: UNKNOWN
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pynvml
Requires-Dist: numpy
Requires-Dist: torch
Requires-Dist: pandas
Requires-Dist: anndata
Requires-Dist: tqdm
Requires-Dist: scipy
Requires-Dist: scikit-learn
Requires-Dist: scanpy
Requires-Dist: networkx
Requires-Dist: matplotlib
Requires-Dist: seaborn

# HoloNet

HoloNet is a powerful tool on spatial transcriptomic data to help understand the shaping of cellular phenotypes through cell–cell communications in a microenvironment. 

Detailed documentations and tutorials are available from https://github.com/lhc17/HoloNet.



