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. 2020 Jan 31;20:323–330. doi: 10.1016/j.omtn.2020.01.029

Table 2.

List of AUC Scores Obtained by Various Methods via the Leave-One-Gene-Out Cross-Validation on the Same Benchmark Dataset S (cf. Equation 3)

Methods AUC (%)a
Azimthb 71.9
ge-CRISPRc 71.7
CRISPRpredd 71.6
sgRNA-PSMe 73.8
sgRNA-ExPSMf 74.4
a

AUC means the area under the ROC curve;56,57 the better predictor corresponds to larger AUC values.

b

Results obtained by in-house implementation from Doench et al.37

c

Results obtained by in-house implementation from Kaur et al.36

d

Results obtained by in-house implementation from Rahman and Rahman.38

e

For the proposed predictor in this article, see Equations 9 and 10 with k = 5, m = 2,  = 3, R = 0.1, F = 800.

f

For the proposed predictor in this article, see Equations 10 and 11 with k = 5, m = 2,  = 3, R = 0.1, F = 800.