Table 3 Effects of parameters λ, α, r, l on prediction performance of BRWHNHA.

From: Inferring microRNA-disease association by hybrid recommendation algorithm and unbalanced bi-random walk on heterogeneous network

α = 0.4, r = 2, l = 1

λ = 0.6, r = 2, l = 1

λ

Average AUC

α

Average AUC

0

0.748654

0

0.804929

0.1

0.814260

0.1

0.844848

0.2

0.844524

0.2

0.853413

0.3

0.852676

0.3

0.856242

0.4

0.855220

0.4

0.856818

0.5

0.856081

0.5

0.855095

0.6

0.856818

0.6

0.853919

0.7

0.856418

0.7

0.850477

0.8

0.856146

0.8

0.848039

0.9

0.855824

0.9

0.847697

1

0.855415

1

0.847478

λ = 0.6, α = 0.4, l = 1

λ = 0.6, α = 0.4, r = 2

r

Average AUC

l

Average AUC

0

0.846267

0

0.856710

1

0.852731

1

0.856818

2

0.856818

2

0.853561

3

0.856814

3

0.846865

4

0.856555

4

0.846626

5

0.856371

5

0.846505

Back to article page