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Table 4 Single task learning with direct combination and label scaling for siRNA efficacy prediction.

From: Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study

Test

RMSE

 

T1

T2

T3

T4

T5

T6

T7

Test 1

23.5500

23.0800

12.8500

30.2500

27.8400

32.8000

32.9700

Test 2

24.9500

29.8900

31.2700

26.8300

32.1900

29.5200

29.2500

 

T8

T9

T10

T11

T12

T13

T14

Test 1

26.5700

13.6100

13.4400

36.9900

33.6700

17.3300

28.7000

Test 2

27.2600

15.8700

12.3700

26.2400

30.3800

21.4700

25.9700

  1. "E" denotes "Experiment". Test 1: Selected 50% of the data from each experiment to train a regression model, and tested the model on the remain 50% of the data of each experiment, respectively. Test 2: Scaled all the experimental labels into [0,1] and pooling together 50% of the data from each experiment to train a general model, and tested the model on the remain 50% of the data of each experiment, respectively. p-value calculated by pair t-test on Test 1 and Test 2 is 0.7043.