Research Article

Machine-Learning Prediction of Oral Drug-Induced Liver Injury (DILI) via Multiple Features and Endpoints

Figure 3

For fatal hADRs as the endpoint, (a) the network of proteins according to the feature importance and (b) KEGG pathway analysis of important protein features. In (a), each protein is represented by its gene symbol. The node size represents feature importance of protein to DILI models. The line thickness presents the combined score made by the STRING database. In (b), the important protein features were selected and analyzed by Cytoscape ClueGO using KEGG pathways. The stars indicate the significance levels for the enrichment tests.
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