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Contrastive Regulatory Embeddings Attention Model for Differential Expression Prediction with Personalized Genomes: Insights and Challenges

2026-08-05

Abstract excerpt

Deep learning models applied to DNA sequences have achieved success in predicting gene expression, chromatin profiles, and variant pathogenicity. However, learning cross-individual differences remains challenging because DNA sequence variation between individuals is small, while gene expression is heavily influenced by non-genetic noise. Prior efforts to predict personalized gene expression from sequence have show...

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Literature Corpus work
4b761da2-812e-56d2-a507-2f8b8d67471f
DOI
10.64898/2026.08.02.742309
Open publication

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