Article

Predicting functional constraints across evolutionary timescales with phylogeny-informed genomic language models

2025-09-21

Abstract excerpt

Genomic language models (gLMs) have emerged as a powerful approach for learning genome-wide functional constraints directly from DNA sequences. However, standard gLMs adapted from natural language processing often require extremely large model sizes and computational resources, yet still fall short of classical evolutionary models in predictive tasks. Here, we introduce GPN-Star (Genomic Pretrained Network with Sp...

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Literature Corpus work: e766563a-148b-5cae-8965-a1db29b3208c
DOI: 10.1101/2025.09.21.677619

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