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Table 2 Parameter sensitivity analysis for TF-target prediction

From: BRANEnet: embedding multilayer networks for omics data integration

 

d = 32

d =64

d =128

d =256

Average

 T =1

0.700

0.880

0.880

0.870

 T = 2

0.790

0.820

0.850

0.860

 T =3

0.830

0.850

0.870

0.870

 T =4

0.780

0.810

0.850

0.860

 T =5

0.820

0.840

0.860

0.870

Weighted L2

 T =1

0.980

0.982

0.983

0.983

 T =2

0.916

0.945

0.966

0.968

 T =3

0.956

0.967

0.979

0.979

 T =4

0.852

0.938

0.966

0.968

 T= 5

0.952

0.968

0.981

0.981

  1. Node embeddings are computed using \(T \in \{1,2,3,4,5\}\) and \(d \in \{32,64,128,256\}\). The performance is measured by computing AUPR score for average and weighted L2 coordinate-wise operations