Article

Leveraging genomic large language models to enhance causal genotype-brain-clinical pathways in Alzheimer’s disease

2024-10-04

Abstract excerpt

Genome-wide association studies (GWAS) have identified numerous Alzheimer’s disease (AD)- associated variants. However, how these variants contribute to the etiology of AD remains largely elusive. Recent advances in genomic large language models (LLMs) offer new opportunities to interpret the genetic variation observed in personal genome. In this study, we propose epiBrainLLM, a novel computational framework that...

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Literature Corpus work: e5ce5473-60a6-5fed-b3dd-4095cb1c7cb8
DOI: 10.1101/2024.10.03.24314824

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