Article

Pretraining Improves Prediction of Genomic Datasets Across Species

2025-08-24

Abstract excerpt

Recent studies suggest that deep neural network models trained on thousands of human genomic datasets can accurately predict genomic features, including gene expression and chromatin accessibility. However, training these models is computation- and time-intensive, and datasets of comparable size do not exist for most other organisms. Here, we identify modifications to an existing state-of-the-art model that improv...

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Literature Corpus work: e229055b-661f-55a2-bcbe-86829fea3b2d
DOI: 10.1101/2025.08.20.671362

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