Table 1 PhenoDigm performs best for urogenital diseases for mouse and cardiac malformation for fish out of 31 disease categories.
From: The influence of disease categories on gene candidate predictions from model organism phenotypes
| disease category* | diseases(mouse)† | AUC(mouse)‡ | diseases(fish)† | AUC(fish)‡ |
|---|---|---|---|---|
| abdominal surgical | 104 | 0.856 (0.336) | 67 | 0.716 (0.033) |
| Allergic | 5 | - | 0 | - |
| Bone | 368 | 0.870 (0.002) | 185 | 0.650 (0.110) |
| cardiac | 128 | 0.857 (0.138) | 58 | 0.675 (0.049) |
| cardiac malformations | 34 | 0.822 (0.221) | 23 | 0.835 (1E-4) |
| circulatory system | 63 | 0.825 (0.239) | 31 | 0.658 (0.417) |
| developmental anomalies in embryogenesis | 943 | 0.852 (0.177) | 475 | 0.673 (1E-4) |
| endocrine | 307 | 0.874 (0.029) | 128 | 0.629 (0.382) |
| eye | 582 | 0.864 (0.034) | 269 | 0.646 (0.147) |
| gastroenterological | 74 | 0.842 (0.391) | 36 | 0.739 (0.031) |
| haematological | 151 | 0.816 (0.151) | 53 | 0.603 (0.215) |
| hepatic | 41 | 0.774 (0.011) | 8 | - |
| immunological | 134 | 0.843 (0.391) | 36 | 0.540 (0.014) |
| inborn errors of metabolism | 384 | 0.789 (5E-9) | 91 | 0.646 (0.103) |
| infectious | 3 | - | 2 | - |
| infertility | 41 | 0.817 (0.154) | 18 | 0.635 (0.496) |
| neurological | 777 | 0.787 (2E-11) | 328 | 0.630 (0.486) |
| odontological | 44 | 0.899 (0.078) | 18 | 0.693 (0.161) |
| otorhinolaryngological | 150 | 0.890 (0.043) | 74 | 0.731 (0.015) |
| renal | 277 | 0.846 (0.479) | 130 | 0.676 (0.048) |
| respiratory | 65 | 0.808 (0.126) | 35 | 0.594 (0.135) |
| skin | 418 | 0.852 (0.161) | 154 | 0.636 (0.442) |
| surgical maxillo facial | 89 | 0.836 (0.367) | 56 | 0.723 (5E-4) |
| surgical thoracic | 33 | 0.816 (0.176) | 12 | 0.641 (0.364) |
| systematic and rheumatological | 68 | 0.832 (0.297) | 14 | 0.592 (0.311) |
| teratologic | 1 | - | 1 | - |
| tumors | 239 | 0.835 (0.388) | 130 | 0.677 (0.044) |
| urogenital | 62 | 0.901 (0.050) | 31 | 0.608 (0.207) |
| all diseases | 3728 | 0.845 | 1558 | 0.630 |