"Global importance analysis: An interpretability method to quantify ..."

Peter K. Koo et al. (2021)

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DOI: 10.1371/JOURNAL.PCBI.1008925

access: open

type: Journal Article

metadata version: 2022-10-02

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Peter K. Koo, Antonio Majdandzic, Matthew Ploenzke, Praveen Anand, Steffan B. Paul:
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks. PLoS Comput. Biol. 17(5) (2021)

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