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license: apache-2.0 |
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language: |
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- en |
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# GenNet |
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Framework for Interpretable Neural Networks for Genetics |
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[GitHub](https://github.com/ArnovanHilten/GenNet) |
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# Model details |
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In [Just DNA-Seq](https://dna-seq.github.io/dna-seq/) analysis pipeline for personal and public genomes, |
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we use trained models from [GenNet paper](https://www.nature.com/articles/s42003-021-02622-z) for diseases |
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that can be associated with aging like diabetes, Atrial fibrillation (AF), hypertension, breast cancer, dementia, and balding. |
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The models were trained on UK Biobank data using 6,986,636 input variants from whole exome sequencing (WES) data. |
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# Model using |
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Both 'gennet_launch_*.py' and 'gennet_launch_*.ipynb' can be used to launch a model. |
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For various types of architecture, files are complemented with appropriate masks. |
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Python 3.7 and TensorFlow 2.8.0 are needed, see full instructions on the GenNet GitHub page. |
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