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Table 1 Results of average precision of PDGPCS and other methods (or strategies) on BLCA, BRCA, COAD and HNSC cancers

From: Prioritization of cancer driver gene with prize-collecting steiner tree by introducing an edge weighted strategy in the personalized gene interaction network

Method/Strategy

BLCA

BRCA

COAD

HNSC

PDGPCS

0.3623

0.2968

0.4534

0.5512

PRODIGY

0.3311

0.2265

0.2479

0.5134

SCS

0.0152

0

0.0162

0

Degree

0.0262

0.1214

0.0735

0.0807

Betweenness

0.2260

0.0828

0.2198

0.2241

Closeness

0.0101

0.0250

0.0290

0.0163

Same weight

0.2330

0.1678

0.2545

0.3064

Original network weight

0.3160

0.2265

0.4292

0.4314

Random weight

0.2383

0.0358

0.1589

0.1802

Tumor sample

0.0077

0.0027

0.0235

0.0102