Skip to main content

Table 3 Classification Results on the BRCA Dataset

From: A semi-supervised approach for the integration of multi-omics data based on transformer multi-head self-attention mechanism and graph convolutional networks

Method

ACC

F1_weighted

F1_macro

Precision

Recall

RF

0.768

0.756

0.697

0.731

0.675

KNN

0.783

0.777

0.732

0.801

0.692

Lasso

0.772

0.752

0.709

0.792

0.672

XGBoost

0.791

0.786

0.730

0.775

0.700

MoGCN

0.837

0.834

0.798

0.842

0.770

MOGONET

0.806

0.774

0.697

0.758

0.691

Transformer+GCN

0.840

0.834

0.784

0.836

0.755

S3VM

0.819

0.817

0.778

0.829

0.761

SEGCN

0.840

0.839

0.798

0.844

0.775

MOSEGCN

0.867

0.868

0.811

0.874

0.797

Back to article page

BMC Genomics

ISSN: 1471-2164

Contact us