Skip to main content

Table 3 Clustering performance on synthetic multiple omics data. A higher value indicates better performance

From: Patient subgrouping with distinct survival rates via integration of multiomics data on a Grassmann manifold

Datasets

Methods

NMI

ACC

F-score

Precision

Recall

Purity

Synthetic omics data

GrassmannCluster

0.9429

0.8800

0.9320

1

0.8743

1

SNF

0.639

0.500

0.5665

0.3952

1

0.5000

Our method

0.9468

0.9150

0.9393

1

0.8855

1