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Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
Koo PK,
Majdandzic A,
Ploenzke M,
Anand P,
Paul SB
(2021)
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks.
PLOS Computational Biology 17(5): e1008925.
https://doi.org/10.1371/journal.pcbi.1008925
