Elucidating the Utility of Genomic Elements with Neural Nets
Project description
Elucidating the Utility of Genomic Elements with Neural Nets
EUGENe is a Python toolkit for building and evaluating sequence-based deep learning models in genomics. It provides a unified workflow for managing data, training models, and interpreting predictions on biological sequences.
You can find the current documentation here for getting started.
If you use EUGENe for your research, please cite our preprint: Klie et al. bioRxiv 2022
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
eugene_tools-0.1.2.tar.gz
(80.3 kB
view details)
Built Distribution
eugene_tools-0.1.2-py3-none-any.whl
(107.0 kB
view details)
File details
Details for the file eugene_tools-0.1.2.tar.gz.
File metadata
- Download URL: eugene_tools-0.1.2.tar.gz
- Upload date:
- Size: 80.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.9.16 Linux/4.18.0-425.3.1.el8.x86_64
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c4bd64e75c449662e81e3e6bbd6c7693978cf3e245fd84b2c8597566e6bac193 |
|
| MD5 | 3397fb3b0dfcf44fa3c6a569cc1ca02f |
|
| BLAKE2b-256 | 9a0ea167220766d7fdd8aa90942f70b8c0949655dcae6d80b2f8950081d41e80 |
File details
Details for the file eugene_tools-0.1.2-py3-none-any.whl.
File metadata
- Download URL: eugene_tools-0.1.2-py3-none-any.whl
- Upload date:
- Size: 107.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.9.16 Linux/4.18.0-425.3.1.el8.x86_64
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a0fd8daf2b0af3745596ab292e9907086001bded0aeb1f6b821ed1dc489f0f0c |
|
| MD5 | 822de6bc23d16e022dfc8d34a6a20fe4 |
|
| BLAKE2b-256 | e907bab2eab3990cea3d2da795fb20c0a4e65b224e94fb198fc3c9ff2ad6ca0b |
