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Fig. 3 | BMC Genomics

Fig. 3

From: BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues

Fig. 3

BoostMe and random forests outperform DeepCpG for predicting methylation values genome-wide. (a) Root-mean-squared error (RMSE) of BoostMe, random forests (RF) and DeepCpG for predicting methylation (beta) values in all tissue and disease state combinations examined in this study. Data points represent performance on individual samples. NGT, normal glucose tolerance; T2D, type 2 diabetes. (b) RMSE of all algorithms by chromatin state

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