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Table 14 Macro-AUPR obtained by focusing on Organ abnormality

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]

NMF-Organ

0.030

0.190

0.355

0.478

0.446

NMF-PPN-Organ

0.033

0.205

0.371

0.495

0.486

NMF-NHPO-Organ

0.033

0.207

0.369

0.490

0.485

NMF-All

0.031

0.193

0.363

0.477

0.449

NMF-PPN-All

0.032

0.204

0.370

0.486

0.460

NMF-NHPO-All

0.032

0.209

0.373

0.482

0.462

HPOAnnotator-All

0.035

0.212

0.374

0.493

0.485

  1. The three rows with “Organ" use only organ abnormality for training, while the other four rows with “All" take all sub-ontologies for training.
  2. 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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