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Table 3 The R values and standard deviations of 18 models and BiLTR on three independent datasets

From: A semi–supervised tensor regression model for siRNA efficacy prediction

Algorithm R Reynolds R Vicker R Harborth
  (244si/7 g) (76si/2 g) (44si/1 g)
GPboot [39] 0.55 (–) 0.35 (–) 0.43 (–)
Uitei [23] 0.47 (–) 0.58 (–) 0.31 (–)
Amarzguioui [20] 0.45 (0.30) 0.47 (0.23) 0.34 (012)
Hsieh [37] 0.03 (0.31) 0.15 (0.23) 0.17 (0.12)
Takasaki [40] 0.03 (0.3) 0.25 (0.23) 0.01 (0.14)
Reynolds 1 [22] 0.35 (0.3) 0.47 (0.224) 0.23 (0.12)
Reynolds 2 [22] 0.37 (0.291) 0.44 (0.232) 0.23 (0.12)
Schawarz [24] 0.29 (–) 0.35 (–) 0.01 (–)
Khvorova [41] 0.15 (–) 0.19 (–) 0.11 (–)
Stockholm 1 [42] 0.05 (–) 0.18 (–) 0.28 (–)
Stockholm 2 [42] 0.00 (–) 0.15 (–) 0.41 (–)
Tree [42] 0.11 (–) 0.43 (–) 0.06 (–)
Luo [43] 0.33 (–) 0.27 (–) 0.40 (–)
i-score[15] 0.54 (0.262) 0.58 (0.19) 0.43 (0.12)
BIOPREDsi [29] 0.53 (0.31) 0.57 (0.23) 0.51 (0.12)
DSIR [7] 0.54 (0.26) 0.49 (0.21) 0.51 (0.11)
Katoh [44] 0.40 (0.34) 0.43 (0.23) 0.44 (0.15)
SVM [17] 0.54 (–) 0.52 (–) 0.54 (–)
BiLTR 0.57 (0.25) 0.58 (0.19) 0.57 (0.10)
  1. The Person correlation coefficients R and standard deviations SD are formed by R (SD).