A probabilistic knowledge graph for target identification
Fig 2
Performance evaluation on the target-disease association prediction task.
(A), Illustration of the two cross-validation schemes used (see main text for more details). Columns with similar colors belong to the same cluster. (B)-(C), Performance of different models on the entry-wise cross-validation test (B) and the cluster-wise cross-validation test (C), respectively. (D)-(E), Performance of of different models trained on the whole prob-KG on target identification for melanoma (D) and colorectal cancer (E), respectively. The models used the optimal hyperparameters derived from the cluster-wise cross-validation test setting. All results were summarized over ten trials and expressed as mean ± SD.