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Table 5 Macro-AUPR obtained by 5 ×5-fold cross-validation over Data-201706 for the nine competing methods

From: HPOAnnotator: improving large-scale prediction of HPO annotations by low-rank approximation with HPO semantic similarities and multiple PPI networks

Method[1-10][11-30][31-100][101-300][ ≥301]
LR0.0030.0220.0470.0640.077
BiRW0.0230.1190.1640.1750.155
OGL0.0050.0240.0560.0870.132
DLP0.0280.1350.1820.2230.182
NMF0.0320.2040.3620.4700.428
NMF-PPN0.0320.2060.3650.4790.440
NMF-NHPO0.0320.2090.3730.4880.472
AiPA0.0330.2160.3690.5000.482
HPOAnnotator0.0340.2190.3750.5100.487
  1. Method performs best in terms of this evaluation metric are in boldface