Similarity Network Fusion (SNF)
SNF python implementation with intention to be 1-2 with MatlabV 2.1
Reference:
B Wang, A Mezlini, F Demir, M Fiume, T Zu, M Brudno, B Haibe-Kains, A Goldenberg (2014) Similarity Network Fusion: a fast and effective method to aggregate multiple data types on a genome wide scale. Nature Methods. Online. Jan 26, 2014
Usage
Install from pypi:
pip install snf_simple
Using the module
You can see an example usage under demo
Development
The project is using poetry for reliable development.
See poetry documentation on how to install the latest version for your system:
Setup
After installing poetry, start an environment:
poetry install
If you are using PyCharm you can use this plugin for setting up interpreter.
Testing
Tests are using standard pytest format. You can run them after the setup with:
pytest
Metadata
Release files for snf-simple 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| snf_simple-0.1.1.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| snf_simple-0.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 24.0 kB
Release files / snf_simple-0.1.1.tar.gz
| Download URL | snf_simple-0.1.1.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / snf_simple-0.1.1-py3-none-any.whl
| Download URL | snf_simple-0.1.1-py3-none-any.whl |
|---|---|
| Size | 12.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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poetry/1.0.10 CPython/3.8.5 Darwin/19.6.0
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