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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Detalles Bibliográficos
Autores principales: Jha, Anupama, K. Aicher, Joseph, R. Gazzara, Matthew, Singh, Deependra, Barash, Yoseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305616/
https://www.ncbi.nlm.nih.gov/pubmed/32560708
http://dx.doi.org/10.1186/s13059-020-02055-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305616/
https://www.ncbi.nlm.nih.gov/pubmed/32560708
http://dx.doi.org/10.1186/s13059-020-02055-7

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