Table 1 The averaged performance of the 100 times random re-sampling with the SVM models.

From: A new strategy for exploring the hierarchical structure of cancers by adaptively partitioning functional modules from gene expression network

 

AML

Glioblastoma

Neuroblastoma

Glioblastoma_seq

Module I

Module II

Module I

Module II

Module I

Module II

Module I

Module II

SPC

0.925

0.878

0.987

0.967

0.885

0.922

0.888

0.882

SEN

0.912

0.855

0.996

0.999

0.913

0.850

0.915

0.889

ACC

0.919

0.866

0.991

0.983

0.899

0.886

0.902

0.885

MCC

0.841

0.741

0.984

0.968

0.813

0.785

0.810

0.777

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