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Table 4 Computational time and memory requirements for all feature selection methods, compared in terms of number of SNPs

From: Collective feature selection to identify crucial epistatic variants

Method

Computational time based on number of SNPs (in seconds)

Memory requirements based on number of SNPs

 

100

500

50,000

100,000

100

500

50,000

100,000

LASSO

4.65

58.49

NA

NA

10gb

10gb

NA

NA

LASSO with interactions

186.9

1800

NA

NA

20gb

20gb

NA

NA

Elastic Net

31.44

401.11

NA

NA

10gb

10gb

NA

NA

Ranger

151.31

681.83

NA

NA

8gb

8gb

NA

NA

Gradient Boosting

103.22

466.95

NA

NA

8gb

8gb

NA

NA

MDR

0.25

15.03

6102

89,777

1gb

1gb

10gb

30gb

MultiSURF

2.48

5.13

NA

NA

18gb

39gb

NA

NA

MultiSURF + TuRF 0.05

36.72

65.72

4420

8321

18gb

39gb

28gb

28gb

  1. Note that “NA” here stands for where the model could not be tested due to computational infeasibility while keeping all parameters for simulated datasets same