A Network-guided Association Mapping Approach from DNA Methylation to Disease.

ABSTRACT: Aberrant DNA methylation may contribute to development of cancer. However, understanding the associations between DNA methylation and cancer remains a challenge because of the complex mechanisms involved in the associations and insufficient sample sizes. The unprecedented wealth of DNA methylation, gene expression and disease status data give us a new opportunity to design machine learning methods to investigate the underlying associated mechanisms. In this paper, we propose a network-guided association mapping approach from DNA methylation to disease (NAMDD). Compared with existing methods, NAMDD finds methylation-disease path associations by integrating analysis of multiple data combined with a stability selection strategy, thereby mining more information in the datasets and improving th

SUBMITTER: Yuan L 

PROVIDER: S-EPMC6447594 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature