Fig. 3
From: MRCNN: a deep learning model for regression of genome-wide DNA methylation
MRCNN obtained better classification performance than DeepCpG and the baseline method, simple CNN. Different deep learning architectures lead to different effects in extracting features, which in turn affects the classification results for the test sets. The difference between the SE and SP between CpG islands and non-CpG islands reveals distinct methylation patterns in different regions of the genomes