Fig. 4
From: MRCNN: a deep learning model for regression of genome-wide DNA methylation
MRCNN predicted methylation for different types of tissues. The H1 ESC was used as the control data, and the other three data were taken from the normal brain white matter, lung and colon tissue. Although MRCNN was trained on H1 ESC data, it still obtained high accuracy and performance when used to predict methylation levels of other types of tissues. The results showed that MRCNN had a certain robustness to more complicated methylation problems