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Table 3 Evaluation of RNAi screens as a test set

From: SVM classifier to predict genes important for self-renewal and pluripotency of mouse embryonic stem cells

Datatype_kernel Signal-to-noise ratio
micro_linear 1.44
micro_poly 1.00
micro_RBF 3.91
chip_binary_linear 1.36
chip_binary_poly 1.84
chip_binary_RBF 1.88
chip_contin_linear 1.57
chip_contin_poly 1.86
chip_contin_RBF 1.91
weight_binary_linear 1.80
weight_binary_poly 1.96
weight_binary_RBF 3.82
weight_contin_linear 1.84
weight_contin_poly 1.65
weight_contin_RBF 2.35
simple_binary_linear 1.80
simple_binary_poly 3.43
simple_binary_RBF 3.80
simple_contin_linear 1.84
simple_contin_poly 1.38
simple_contin_RBF 3.21
  1. Ranked methods based on signal-to-noise ratio performance of predicting the percentage of genes as positive from the positive test set (self-renewal screen) and as positive from the negative test set (insulin-pathway screen).