From: Fusing literature and full network data improves disease similarity computation
Disease 1 | Disease 2 | P-value (MedSim) | P-value (NetSim) | P-value (MedNetSim) |
---|---|---|---|---|
False negatives | ||||
 polycystic ovary syndrome | myocardial infarction | 0.663 | 0.004 | 0.051 |
 lipid storage disease | obesity | 0.107 | 0.148 | 0.070 |
 malaria | epilepsy syndrome | 0.675 | 0.016 | 0.075 |
 lipid storage disease | diabetes mellitus | 0.108 | 0.156 | 0.075 |
False positives | ||||
 impulse control disorder | narcissistic personality disorder | 0.023 | 0.001 | 0.002 |
 penile neoplasm | cecum cancer | 0.023 | 0.007 | 0.004 |
 pancreatic cancer | tubular adenocarcinoma | 0.003 | 0.107 | 0.006 |
 essential hypertension | hyperthyroidism | 0.210 | 0.021 | 0.030 |