Article

Reliable interpretability of biology-inspired deep neural networks

2023-07-18

Abstract excerpt

Deep neural networks display impressive performance but suffer from limited interpretability. Biology-inspired deep learning, where the architecture of the computational graph is based on biological knowledge, enables unique interpretability where real-world concepts are encoded in hidden nodes, which can be ranked by importance and thereby interpreted. In such models trained on single-cell transcriptomes, we prev...

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Literature Corpus work: 201e5276-8cdd-546f-972c-7f323602cb65
DOI: 10.1101/2023.07.17.549297

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