Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study

Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study

Abstract 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 spl...

Full description

Bibliographic Details
Main Authors: Anupama Jha, Joseph K. Aicher, Matthew R. Gazzara, Deependra Singh, Yoseph Barash
Format: Article
Language:English
Published: BMC 2020-06-01
Series:Genome Biology
Subjects:
Deep learning
Splicing code
Interpretation
Liver-specific splicing
A1CF
Online Access:http://link.springer.com/article/10.1186/s13059-020-02055-7

Internet

http://link.springer.com/article/10.1186/s13059-020-02055-7

Similar Items