Disease candidate genes prediction using positive labeled and unlabeled instances

BMC Medical Genomics

Table 3 The relations of evaluation measures

Equation number	Equation	Equation number	Equation
18	\(Precision=\frac{TP}{TP+FP}*100\)	19	\(Recall=\frac{TP}{TP+FN}*100\)
20	\({F}_{1}=\frac{2PR}{P+R}\)	21	\(TNG=\frac{A-B}{A}*100\)
22	\(TPR=\frac{TP}{TP+FN}\)	23	\(FPR=\frac{FP}{FP+TN}\)

A. Precision measure – this measure indicates the percentage of positive predictions that are performed correctly. Moreover, this measure is calculated from Eq. 18 in Table 3
B. Recall measure – this measure indicates the percentage of positive samples that are categorized correctly. Moreover, this measure is calculated from Eq. 19 in Table 3
C. F₁ measure – it is a compatible mean between precision and recall. Moreover, this measure is calculated from Eq. 20 in Table 3. Additionally, R symbol refers to recall and P symbol refers to precision
D. Trust in Negative Genes (TNG) measure – this measure is used for trust value in extracted negative genes measurement in unlabeled genes. Indeed, it compares the extracted negative genes and disease-known genes from 2014 to 2020. The trust value in negative genes is calculated from Eq. 21 in Table 3. In Eq. 21, A is the number of extracted negative genes, the B parameter is the number of available common genes in the disease genes list from 2014 to 2020 and extracted negative genes

ISSN: 1755-8794