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Open AccessRNA splicing analysis using heterogeneous and large RNA-seq datasets
The ubiquity of RNA-seq has led to many methods that use RNA-seq data to analyze variations in RNA splicing. However, available methods are not well suited for handling heterogeneous and large datasets. Such d...
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Open AccessEnhanced 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 ident...
