GLM-Prior: a genomic language model for transferable sequence-derived priors in gene regulatory network inference
Claudia Skok Gibbs, Angelica Chen, Richard Bonneau, Kyunghyun Cho
GLM-Prior is a genomic language model that generates sequence-derived priors for gene regulatory network inference, showing strong performance in mammals but limited success in yeast.
Nature Communications · Sep 14, 2026Peer-reviewedGenomics