DNA Methylation

DNA methylation, a crucial epigenetic modification, is being extensively studied to understand its role in aging, disease, and gene regulation. Current research focuses on developing sophisticated machine learning models, including deep neural networks (like transformers and convolutional neural networks), Gaussian processes, and novel ensemble methods, to analyze high-dimensional methylation data and predict various biological outcomes, such as epigenetic age and disease risk. These advancements are improving the accuracy and interpretability of methylation-based analyses, enabling more precise predictions and potentially leading to improved diagnostics and personalized therapies. The ability to accurately predict methylation patterns and their downstream effects holds significant promise for advancing our understanding of complex biological processes and improving human health.