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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]

LR

0.003

0.022

0.047

0.064

0.077

BiRW

0.023

0.119

0.164

0.175

0.155

OGL

0.005

0.024

0.056

0.087

0.132

DLP

0.028

0.135

0.182

0.223

0.182

NMF

0.032

0.204

0.362

0.470

0.428

NMF-PPN

0.032

0.206

0.365

0.479

0.440

NMF-NHPO

0.032

0.209

0.373

0.488

0.472

AiPA

0.033

0.216

0.369

0.500

0.482

HPOAnnotator

0.034

0.219

0.375

0.510

0.487

  1. Method performs best in terms of this evaluation metric are in boldface
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BMC Medical Genomics

ISSN: 1755-8794

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