News-Medical.Net November 11, 2024
Vijay Kumar Malesu

By integrating DNA sequence and epigenetic context, CpGPT sets new standards for predicting aging-related outcomes, offering unprecedented accuracy in assessing mortality and disease risk across various datasets.

*Important notice: bioRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or treated as established information.

In a recent pre-print* study posted to the bioRxiv server, a team of researchers introduced the Cytosine-phosphate-Guanine Pretrained Transformer (CpGPT: a transformer-based foundation model for deoxyribonucleic acid (DNA) methylation) designed to enhance analysis and prediction across diverse tissues and conditions.

Background

Since the advent of transformer architecture, artificial intelligence has rapidly progressed, especially through foundation models and large language models (LLMs) that utilize self-attention to...

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