Name | eugene-tools JSON |
Version |
0.1.2
JSON |
| download |
home_page | |
Summary | Elucidating the Utility of Genomic Elements with Neural Nets |
upload_time | 2023-07-20 20:01:08 |
maintainer | |
docs_url | None |
author | adamklie |
requires_python | >=3.9,<3.11 |
license | |
keywords |
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requirements |
No requirements were recorded.
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Travis-CI |
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# **E**lucidating the **U**tility of **G**enomic **E**lements with **Ne**ural 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](https://eugene-tools.readthedocs.io/en/latest/index.html) here for getting started.
If you use EUGENe for your research, please cite our preprint: [Klie *et al.* bioRxiv 2022](https://www.biorxiv.org/content/10.1101/2022.10.24.513593v1)
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