
"UC(Area under ROC curve) and AUPR (Area under the precision-recall curve) are popular metrics for evaluating prediction models. Since drug-disease pairs without associations are much more than known drug-disease associations, AUPR is adopted as the primary metric, which takes into recall and precision. Several binary classification metrics are also considered, i.e. sensitivity(SN, also known as recall), specificity (SP), accuracy(ACC) and F-measure (F). The increasing cost and duration of new drug development make the repositioning of existing drugs using computational methods a significant focus of medical or biological research. CD ComputaBio has the full capability set to help you with your In Silico Drug Discovery needs. Our services can be contracted under confidentiality terms as well as other specific conditions agreed with the customer. "
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
