CASER: A semi-supervised model with multi-omics data integration prioritizes cancer-associated epigenetic regulator genes
Fig 2
Performance of different semi-supervised models based on the independent testing gene set.
(A) The area under the receiver operating characteristic curve (AUROC) for four semi-supervised models. (B) The area under the precision-recall curve (AUPRC) for four semi-supervised models. (C) The AUROC for four deep semi-supervised-learning models. (D) The AUPRC for four deep semi-supervised-learning models. The FlexMatch model fails to capture patterns in the omic data, producing predictions no better than random chance, a consequence of fundamental failures in its pseudo-labeling mechanism.