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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