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Table 6 AUC results for ADA-GRMFC variants under \(CV_d\)

From: Graph regularized non-negative matrix factorization with prior knowledge consistency constraint for drug–target interactions prediction

Method

NR

GPCR

IC

E

ADA-GRMFC

0.864387 (0.0153)

0.826039 (0.0119)

0.798762 (0.0158)

0.834382 (0.0082)

ADA-GRMFC\((\lambda _d=0)\)

0.668567 (0.0040)

0.668567 (0.0040)

0.450439 (0.0055)

0.534526 (0.0039)

ADA-GRMFC\((\lambda _t=0)\)

0.860748 (0.0138)

0.807354(0.0090)

0.756596 (0.0028)

0.785171 (0.0139)

  1. The maximum AUC result in each column is bold. Standard deviation is shown in parentheses
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BMC Bioinformatics

ISSN: 1471-2105

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