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A software framework for end-to-end genomic sequence analysis with deep learning - Nature Computational Science
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Using deep learning methods to study gene regulation has become popular, but designing accessible and customizable software for this purpose remains a challenge. This work introduces a computational toolkit called EUGENe that facilitates the development of end-to-end deep learning workflows in regulatory genomics.
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