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Table 5 The result of 10 fold cross validation using heat diffusion algorithm with baseline prediction

From: Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach

Method

AUC-ROC

AUC-PR

Common neighbor approach (CN)

0.72

0.0382

Jaccard similarity (JS)

0.76

0.0549

Preferential attachment (PA)

0.73

0.0428

Resource allocation (RA)

0.78

0.0612

Adamic adar index (AAI)

0.79

0.0645

Katz (STRING) α=0.15,β=0.0001

0.54

0.0161

Katz (BioGRID) α=0.15,β=0.0001

0.72

0.0311

Personalized pageRank algorithm (PPR) (STRING)

0.81

0.0523

Personalized PageRank algorithm (PPR) (BioGRID)

0.81

0.0543

Heat diffusion algorithm (HD) (STRING)

0.85

0.0823

Heat diffusion algorithm (HD) (BioGRID)

0.74

0.0321

Random baseline (RB)

0.5

0.0125

Random network in layer 2 (RN)

0.5

0.0012