ML4GLand/EUGENe
Elucidating the Utility of Genomic Elements with Neural Nets
This toolkit helps geneticists and computational biologists build and evaluate deep learning models that analyze biological sequences. You input genomic data, and the system trains models to predict the utility or function of specific genomic elements, providing insights into their biological roles. This is for researchers working with DNA, RNA, or protein sequences who want to apply AI to understand genetic function.
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Use this if you are a genomics researcher wanting to develop and test deep learning models to understand the functional significance of genomic sequences.
Not ideal if you need a pre-trained, ready-to-use model for a specific genomic prediction task without building or evaluating a new model.
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Jupyter Notebook
License
MIT
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Last pushed
Dec 02, 2024
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