ExplaiNN: interpretable and transparent neural networks for genomics

Deep learning models such as convolutional neural networks (CNNs) excel in genomic tasks but lack interpretability. We introduce ExplaiNN, which combines the expressiveness of CNNs with the interpretability of...

Source: Genome Biology - June 27, 2023 Category: Genetics & Stem Cells Authors: Gherman Novakovsky, Oriol Fornes, Manu Saraswat, Sara Mostafavi and Wyeth W. Wasserman Tags: Method Source Type: research