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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Vydáno v:Genome Biol
Hlavní autoři: Jha, Anupama, K. Aicher, Joseph, R. Gazzara, Matthew, Singh, Deependra, Barash, Yoseph
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2020
Témata:
Method
On-line přístup: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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