Decoding functional cell–cell communication events by multi-view graph learning on spatial transcriptomics
Project description
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.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file HoloNet-0.1.0.tar.gz.
File metadata
- Download URL: HoloNet-0.1.0.tar.gz
- Upload date:
- Size: 30.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9afd300c804c9060ff313b4c9364e90a808cacf13d3d011a3cd57ea2c7cbfed7
|
|
| MD5 |
3e7b51132782a554d06759d7625c1d7d
|
|
| BLAKE2b-256 |
a973f5f3f4d8b906cdd0c8f7726351e74a4396e9b8c077b7948d370ef01d4940
|
File details
Details for the file HoloNet-0.1.0-py3-none-any.whl.
File metadata
- Download URL: HoloNet-0.1.0-py3-none-any.whl
- Upload date:
- Size: 44.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d3cf0957f972bd8b03d6000aac6733e2c18b78bda306e6fbce1d9b272d45cb10
|
|
| MD5 |
51921b1ca265f93856ad345ca9360eb2
|
|
| BLAKE2b-256 |
ce2efa19207da933b9c778cc938f85ba3250670b1d3e27a1c7be97af4e81c9fc
|
