benchmarking gene regulatory networks
Project description
bengrn
Awesome Benchmark of Gene Regulatory Networks created by @jkobject
The package is supposed to work with GRnnData It can run Genie3 & pyscenic on your data as a comparison
It has 4 different types of key ground truth data to compare your GRN to:
- sushmita roy's ChIP+Perturb ground truth
- collectri's literature curated ground truth
- dorothea's literature curated ground truth
- tf2gene's chip curated ground truth
You can find the documentation here
Install it from PyPI
pip install bengrn
Usage
from bengrn import BenGRN
from bengrn import some_test_function
# a GRN in grnndata formart
grndata
BenGRN(grndata).do_tests()
#or
some_test_function(grndata)
see more in the notebooks in the docs folder or in the documentation
Development
Read the CONTRIBUTING.md file.
Project details
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
bengrn-0.1.0.tar.gz
(45.0 kB
view details)
Built Distribution
bengrn-0.1.0-py3-none-any.whl
(49.9 kB
view details)
File details
Details for the file bengrn-0.1.0.tar.gz
.
File metadata
- Download URL: bengrn-0.1.0.tar.gz
- Upload date:
- Size: 45.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.4 Linux/5.15.0-91-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 66715aa0d1aabddaab4d12d0cbb36d5e1ec759b24ad546274872ea0ae2a8dd2b |
|
MD5 | f6f5d3914151c08e273f054853df5932 |
|
BLAKE2b-256 | 25cafa7a27f42a1b217c6b24d6d7abb41247075addcd1243b9a75ac428361d17 |
File details
Details for the file bengrn-0.1.0-py3-none-any.whl
.
File metadata
- Download URL: bengrn-0.1.0-py3-none-any.whl
- Upload date:
- Size: 49.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.11.4 Linux/5.15.0-91-generic
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ab338f92ab9220dcda1faf16d265e83962a826580b3c83e6fca4d279515a0a71 |
|
MD5 | aecba1165a7b48e094363d9a50c09145 |
|
BLAKE2b-256 | 08338ba204aebc448a36c1ef4af7e33f6165098a3c97eff507214c40145ae9a1 |