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Fig. 5 | Journal of Cheminformatics

Fig. 5

From: Learning important features from multi-view data to predict drug side effects

Fig. 5

The prediction results for hepatotoxicity. a The X axis represents the features with the largest coefficients for hepatotoxicity (10 features from each feature profile). The Y axis represents the top-ranked predicted drugs (5 test drugs without any known side effects, and 5 drugs with known side effects but without record for hepatotoxicity. The DrugBank IDs of the drugs with known side effects are underlined). Here, the colours on the heat-map represent the values of the selected features in the feature vectors of these drugs. b The X axis represents the features with the largest coefficients for hepatotoxicity (10 features from each feature profile), and the Y axis represents the side effects most frequently co-occurred with hepatotoxicity. The colours on the heat-map represent the values of the coefficients learned by multi-LRSL for each side effect. In both (a) and (b) different types of features are separated by grey dash lines

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