A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types in patients with cancers of unknown primary (CUP), according to research ...
Model correctly identified cancer types in most cases in the test cohort and the independent validation cohort.
By analyzing CpG-based DNA methylation, the model achieved 87% accuracy when applied to 31 cases representing 17 different cancer types.
The scientists at deCODE Genetics, a subsidiary of Amgen, sought to deepen the understanding of cis-acting influences of sequence variants on CpG methylation. In the study, the scientists were able to ...
DNA methylation is a key epigenome component that helps dictate how genes are expressed, contributing to normal cell and tissue differentiation during development, as well as the process of biological ...
*Important notice: bioRxiv publishes preliminary scientific reports that are not peer-reviewed and, therefore, should not be regarded as conclusive, guide clinical practice/health-related behavior, or ...
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