Table 2 Performance of second-generation siRNA efficacy prediction algorithms on T737, V185, and V419
Pearson Correlation Coefficient (PCC)
S. No.ReferenceTechniquesiRNA DatasetASP-siRNA DatasetTrain#Val#T737V185V419*
1Huesken et al. (2005)ANNHuesken24310.670.66Webserver not working0.54
2Vert et al. (2006)LRHuesken24310.670.57Webserver not working0.55
3Jiang et al. (2007)RFR35890.850.59Webserver not workingNA
4Ichihara et al. (2007)LRHuesken24310.72NA0.180.140.56
5Ahmed and Raghava (2011)SVMHuesken24310.650.650.270.250.55
6siRNApred Kumar et al., (2009)SVMHuesken24310.560.470.270.090.23
  • Second-generation siRNA efficacy algorithms were developed on the Huesken dataset. S.No., Serial number; RFR, random forest regression; ANN, artificial neural network; LR, linear regression; Train# and Val# is the performance during n-fold cross-validation and independent validation of a particular algorithm. T737 and V185 column reflects the performance of algorithms on training/testing and independent validation sets of ASPsiPredSVM (in bold italics), while extreme right column indicates performance of algorithms on benchmarking dataset V419.