Article
DIVAN: accurate identification of non-coding disease-specific risk variants using multi-omics profiles.
Genome biology - 6 Dec 2016
Chen Li, Jin Peng, Qin Zhaohui S
Abstract excerpt
Understanding the link between non-coding sequence variants, identified in genome-wide association studies, and the pathophysiology of complex diseases remains challenging due to a lack of annotations in non-coding regions. To overcome this, we developed DIVAN, a novel feature selection and ensemble learning framework, which identifies disease-specific risk variants by leveraging a comprehensive collection of...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
