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. 2018 Jan 3;9:42. doi: 10.1038/s41467-017-02465-5

Fig. 2.

Fig. 2

Importance of each driver feature in predicting the drug response based on the MERGE algorithm. a Learned driver feature weight values. The methylation feature has a negative weight, consistent with our prior knowledge that when DNA is methylated in the promoter region, the corresponding genes are inactivated and silenced. b We sort genes based on the MERGE score (x-axis) and plot the sum of the contribution of all driver features to the MERGE score (i.e., weighted combination of driver features) (y-axis). We decomposed the weighted combination into the five driver features and indicated the magnitude of the contribution of each feature (driver feature weight × driver feature value) with different colors. Expression hubness contributes the most to the score, followed by regulatory function and (lack of) methylation