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Table 13 Macro-AUC 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

0.645

0.897

0.924

0.945

0.922

NMF-PPN-Organ

0.654

0.921

0.943

0.956

0.934

NMF-NHPO-Organ

0.652

0.926

0.942

0.958

0.936

NMF-All

0.645

0.906

0.939

0.941

0.912

NMF-PPN-All

0.651

0.924

0.941

0.954

0.919

NMF-NHPO-All

0.650

0.928

0.940

0.953

0.935

HPOAnnotator-All

0.655

0.929

0.946

0.955

0.938

  1. The three rows with “Organ" use only organ abnormality for training, while the others 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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