A deep neural network based regression model for triglyceride concentrations prediction using epigenome-wide DNA methylation profiles

ConclusionsWe demonstrated the superiority of our proposed DNN models over the SVM model for predicting triglyceride concentrations. This study also suggests that the DNN approach has advantages over other traditional machine-learning methods to model high-dimensional epigenome-wide DNAm data and other genomic data.

http://link.springer.com/10.1186/s12919-018-0121-1

Source: BMC Proceedings - September 17, 2018 Category: Biomedical Science Source Type: research