10.1371/journal.pcbi.1008925 | Papers

Papers: 10.1371/journal.pcbi.1008925

Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks

Cited by: 39
Author(s): Peter K. Koo, Antonio Majdandzic, Matthew Ploenzke, Praveen Anand, Steffan B. Paul
Published: over 5 years ago

Data Quality of Experimental Data
Papers that mentioned: 13,779

Very Likely Science (90)

A tool for (R)econstruction of (C)ancer (K)aryotypes (both clone- and haplotype-specific)
Papers that mentioned: 9

Very Likely Science (100)