Skip to main content

Table 2 Performance of the longitudinal SAMGSR on simulated data

From: A longitudinal feature selection method identifies relevant genes to distinguish complicated injury and uncomplicated injury over time

  

Time 1

Time 2

Time 3

Time 4

Time 5

 

# of genes

19.84

19.14

13.68

9.30

11.00

Simulation 1

F13A1 (%)

72

100

100

92

68

(Ave. # 32.06)

GSTM1 (%)

0

0

62

22

0

 

# of genes

182.38

56.18

35.44

30.94

123.84

Simulation 2

COX4I2 (%)

96

0

0

0

4

(Ave. # 291.98)

RP9 (%)

10

4

4

6

96

  1. Note: Ave. # represents the average number of the union of individual genes selected at each time point over 50 simulated datasets; # of genes represents the average number of individual genes selected at the specific time point over 50 simulated datasets; % represents the percentage of the corresponding true causal gene being selected by the algorithm over 50 simulated datasets