Article

GLM-Prior: a genomic language model for transferable sequence-derived priors in gene regulatory network inference

2025-07-04

Abstract excerpt

Gene regulatory network (GRN) inference depends on high-quality prior knowledge, yet curated priors are often incomplete or unavailable across species and cell types. We present GLM-Prior, a genomic language model fine-tuned to predict transcription factor (TF)-target gene interactions from nucleotide sequence, and benchmark it as a sequence-derived strategy for constructing TF-gene prior matrices. We integrate GL...

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Literature Corpus work: e92e3d21-8a72-5d4a-b299-49496718ff99
DOI: 10.1101/2025.06.29.662198

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