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Ratio of concentrations (%) F-score values for the ground truth seed and leaf features (%). Solvent Seed. Leaf. centWave. matchedFilter MZmine. 75. 25. 0.
Additional File 3 for Highly sensitive feature detection for high resolution LC/MS by Ralf Tautenhahn, Christoph B¨ ottcher, Steffen Neumann
1 1.1
Results using optimised parameter settings Dilution series of seed and leaf extracts Ratio of concentrations (%) Solvent 75 50 25 75 50 25
Table 1: F-score values for seed (upper part) and leaf (lower part) ground truth features measured for leaf and seed extracts in solvent. The numbers represent the average F-score value across ten technical replicates in percent and their standard deviation. The F-score was calculated using the recall values in Table 2 and the precision values in Table 3.
Ratio of concentrations (%) Solvent 75 50 25 75 50 25
Table 2: Recall values for seed (upper part) and leaf (lower part) ground truth features measured for leaf and seed extracts in solvent. The numbers represent the average recall value across ten technical replicates in percent and their standard deviation.
1
Ratio of concentrations (%) Solvent 75 50 25 75 50 25
Table 3: Precision values for seed (upper part) and leaf (lower part) ground truth features measured for leaf and seed extracts in solvent. The numbers represent the average precision value across ten technical replicates in percent and their standard deviation.
2
1.2
Mixtures of seed and leaf extracts Ratio of concentrations (%) Solvent 0 0 0
Seed 25 50 75
Leaf 75 50 25
F-score values for the ground truth seed and leaf features (%) centWave matchedFilter MZmine 69.5 ± 1 55 ± 0.6 65.3 ± 0.7 70.5 ± 0.9 56 ± 0.7 67.4 ± 0.8 70.6 ± 0.8 56 ± 0.5 68.5 ± 0.8
Table 4: F-score values for seed and leaf ground truth features (set union) measured for mixtures of leaf and seed extracts. The numbers represent the average F-score value across ten technical replicates in percent and their standard deviation. The F-score was calculated using the recall values in Table 5 and the precision values in Table 6.
Ratio of concentrations (%) Solvent 0 0 0
Seed 25 50 75
Leaf 75 50 25
Recall values for the ground truth seed and leaf features (%) centWave matchedFilter MZmine 61.5 ± 1 42.6 ± 0.5 58.7 ± 0.7 62.5 ± 0.7 42.7 ± 0.7 60 ± 0.8 62.1 ± 1.1 41.7 ± 0.7 59.5 ± 1.1
Table 5: Recall values for seed and leaf ground truth features (set union) measured for mixtures of leaf and seed extracts. The numbers represent the average recall value across ten technical replicates in percent and their standard deviation.
Ratio of concentrations (%) Solvent 0 0 0
Seed 25 50 75
Leaf 75 50 25
Precision values for the ground truth seed and leaf features (%) centWave matchedFilter MZmine 79.9 ± 0.9 77.5 ± 1.1 73.5 ± 1.1 80.9 ± 1.3 81.3 ± 0.9 76.8 ± 1 81.7 ± 0.8 85.1 ± 1 80.7 ± 0.9
Table 6: Precision values for seed and leaf ground truth features (set union) measured for mixtures of leaf and seed extracts. The numbers represent the average precision value across ten technical replicates in percent and their standard deviation.
Table 7: Recall values for seed (upper part) and leaf (lower part) ground truth features measured for mixtures of leaf and seed extracts. The numbers represent the average recall value across ten technical replicates in percent and their standard deviation.