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)

Selecting deep neural networks that yield consistent attribution-based interpretations for genomics. - Antonio Majdandzic; Chandana Rajesh; Ziqi Tang; Shushan Toneyan; Ethan L. Labelson; Rohit K. Tripathy 001; Peter K. Koo (MLCB, 2022)