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Table 4 Performance comparison with respect to different values

From: A random walk-based method to identify driver genes by integrating the subcellular localization and variation frequency into bipartite graph

a

Breast

Prostate

Lung

0

0.4139

0.5171

0.3545

0.1

0.4129

0.5111

0.3604

0.2

0.4363

0.4706

0.3641

0.3

0.4574

0.4833

0.3894

0.4

0.4709

0.4634

0.4138

0.5

0.4771

0.4651

0.4177

0.6

0.4762

0.4281

0.437

0.7

0.4763

0.3957

0.4377

0.8

0.4672

0.385

0.4334

0.9

0.4219

0.372

0.4135

1

0.3627

0.3416

0.4204

  1. The calculated AUC values of Subdyquency for each cancer type under different α values
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BMC Bioinformatics

ISSN: 1471-2105

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