Predicting type 2 diabetes via machine learning integration of multiple omics from human pancreatic islets

Abstract Type 2 diabetes (T2D) is the fastest growing non-infectious disease worldwide. Impaired insulin secretion from pancreatic beta-cells is a hallmark of T2D, but the mechanisms behind this defect are insufficiently characterized. Integrating multiple layers of biomedical information, such as d...

Бүрэн тодорхойлолт

Номзүйн дэлгэрэнгүй

Үндсэн зохиолчид:	Tina Rönn, Alexander Perfilyev, Nikolay Oskolkov, Charlotte Ling
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Nature Portfolio 2024-06-01
Цуврал:	Scientific Reports
Нөхцлүүд:	DNA methylation RNA-sequencing Genetic variation Metabolic disease Omics integration Machine learning
Онлайн хандалт:	https://doi.org/10.1038/s41598-024-64846-3
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!