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Table 4 Average F1-score results under different sample sizes for pseudo-labeling during fine-tuning based on Tenfold cross-validation

From: meth-SemiCancer: a cancer subtype classification framework via semi-supervised learning utilizing DNA methylation profiles

Sample size

Simulation dataset

Real-studies dataset

0

400

600

800

1000

0%

40%

60%

80%

100%

BRCA

0.814

0.820

0.822

0.821

0.825

0.814

0.824

0.822

0.818

0.833

PRAD

0.872

0.882

0.890

0.885

0.899

0.872

0.913

0.901

0.907

0.915

RCC

0.948

0.981

0.979

0.977

0.976

0.948

0.967

0.969

0.974

0.967