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Table 3 Computational time in seconds to perform top-hat baseline subtraction in the transformed space using the naive and CLSA algorithms on synthetic data for varying data assumptions and SE sizes

From: Informed baseline subtraction of proteomic mass spectrometry data aided by a novel sliding window algorithm

Number of

Naive

  

CLSA

  

points

Window size (% of x-axis)

  

Window size (% of x-axis)

  

n (×104)

0.5

1

2

5

10

20

0.5

1

2

5

10

20

1

0.1

0.1

0.3

0.6

1.2

2.3

0.0

0.0

0.2

0.0

0.0

0.2

2

0.3

0.5

1.0

2.5

4.9

9.2

0.1

0.1

0.1

0.1

0.1

0.1

3

0.6

1.2

2.3

5.7

11.0

20.6

0.3

0.1

0.1

0.2

0.1

0.1

4

1.1

2.1

4.2

10.2

19.6

36.5

0.1

0.2

0.1

0.1

0.3

0.1

5

1.7

3.3

6.5

15.8

30.5

56.8

0.2

0.3

0.2

0.2

0.3

0.2

6

2.4

4.7

9.3

22.7

44.0

82.0

0.2

0.2

0.3

0.2

0.2

0.3

7

3.2

6.4

12.6

30.9

59.7

111.7

0.2

0.2

0.4

0.2

0.2

0.4

8

4.2

8.4

16.6

40.3

78.3

146.4

0.4

0.3

0.3

0.4

0.3

0.3

9

5.4

10.6

21.0

51.1

98.8

185.3

0.4

0.3

0.3

0.4

0.3

0.3

10

6.6

13.0

25.9

63.1

121.8

228.7

0.3

0.4

0.3

0.3

0.5

0.3