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Fig. 4 | Genome Biology

Fig. 4

From: MMSplice: modular modeling improves the predictions of genetic variant effects on splicing

Fig. 4

Splicing efficiency prediction. a MaPSy experiment (“Methods” section). Effect of 5761 published disease-causing exonic mutations on splicing efficiency is measured both in vivo and in vitro. Changes of splicing efficiency were quantified by allelic log-ratio. be Measured (y-axis) versus predicted (x-axis) allelic ratio for 797 variants in the test set for MMSplice (b, c) and the SMS score [28] (d, e). The dotted line marks the y=x diagonal. The 95% confidence intervals for Pearson correlation (R) and root-mean-square errors (RMSE) were calculated with bootstrap (“Methods” section)

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