Article
D-LIM: A neural network for interpretable gene-gene interactions.
PLoS computational biology - 1 Mar 2026
Wang Shuhui, Allauzen Alexandre, Nghe Philippe, Opuu Vaitea
Abstract excerpt
Recent advances in gene editing can produce large genotype-fitness maps for targeted genes, yet predicting the effects of mutations between genes remains challenging. Indeed, biochemical models require knowledge of underlying parameters and interactions, whereas machine learning methods typically lack interpretability, as they do not link model parameters to biological quantities. We introduce D-LIM, a neural...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.