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Table 8 AUC results for ADA-GRMFC variants under \(CV_t\)

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

Method

NR

GPCR

IC

E

ADA-GRMFC

0.799721 (0.0154)

0.896419 (0.0245)

0.948086 (0.0038)

0.939765 (0.0070)

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

0.71424 (0.0342)

0.849599 (0.0186)

0.94421 (0.0013)

0.926141 (0.0074251)

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

0.528071 (0.0033)

0.604348 (0.0584)

0.542624 (0.0209)

0.514737 (0.0112512)

  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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