Table 4 Results of different omics data.

From: A novel liver cancer diagnosis method based on patient similarity network and DenseGCN

 

Precision

Recall

F1-score

Accuracy

AUC

RNA-Seq

0.8197

0.6757

0.7407

0.75

0.7545

DNA methylation

0.931

0.7297

0.8182

0.8286

0.8346

CNV

0.9574

0.6081

0.7438

0.7785

0.7889

RNA-Seq+DNAMethy

0.9855

0.9189

0.951

0.95

0.9519

RNASeq+CNV

0.8375

0.9853

0.9054

0.9

0.9024

DNAMethy+CNV

0.9589

0.9459

0.9524

0.95

0.9502

Multi-omics

0.9865

0.9865

0.9865

0.9857

0.9856

  1. Significant values are in bold.
Back to article page