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Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study
Despite the success and fast adaptation of deep learning models in biomedical domains, their lack of interpretability remains an issue. Here, we introduce Enhanced Integrated Gradients (EIG), a method to identify significant features associated with a specific prediction task. Using RNA splicing pre...
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| Publicado no: | Genome Biol |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7305616/ https://ncbi.nlm.nih.gov/pubmed/32560708 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02055-7 |
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