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