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Table 2 AUPR results for interaction prediction under validation setting CVS1

From: Drug–target interaction prediction using unifying of graph regularized nuclear norm with bilinear factorization

Method

Datasets

E

IC

GPCR

NR

MGRNNM [11]

0.9660 (0.0006)

0.9585 (0.0013)

0.8515 (0.0033)

0.8791 (0.0019)

SMGRNNM [11]

0.9014 (0.0018)

0.9298 (0.0026)

0.7483 (0.0039)

0.6408 (0.0234)

MC[78]

0.7882 (0.0022)

0.8868 (0.0028)

0.6481 (0.0116)

0.3950 (0.0298)

MCG[79]

0.7621 (0.0025)

0.8346 (0.0025)

0.5956 (0.0102)

0.4558 (0.0202)

WGRMF [20]

0.8768 (0.0020)

0.9225 (0.0022)

0.7370 (0.0024)

0.6016 (0.0378)

WKNKN + L1,2-GRMF [77]

RLS-WNN[25]

0.8093 (0.0045)

0.8459 (0.0106)

0.6933 (0.0226)

0.7072 (0.0290)

CMF [35]

0.8837 (0.0026)

0.9373 (0.0019)

0.7543 (0.0017)

0.6383 (0.0149)

NRLMF [36]

0.892 (0.006)

0.906 (0.008)

0.749 (0.015)

0.728 (0.041)

TMF [28]

0.952 (0.002)

0.952 (0.002)

0.844 (0.006)

0.811 (0.035)

DDR [80]

0.92

0.92

0.79

0.83

Proposed method

0.9687 (0.0007)

0.9670 (0.0005)

0.9159 (0.0036)

0.9253 (0.0091)