Skip to main content

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).
Back to article page

BMC Systems Biology

ISSN: 1752-0509

Contact us