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Fig. 5 | BMC Genomics

Fig. 5

From: MRCNN: a deep learning model for regression of genome-wide DNA methylation

Fig. 5

Clustering results for hypermethylation and hypomethylation loci of the original features and the learned filters of the first convolutional layer. a t-SNE plot of the original input tensor representation. From the plot, we cannot apparently distinguish between hypermethylation and hypomethylation. b t-SNE plot of the learned feature map representation. Hypermethylation and hypomethylation are generally grouped

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