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Table 3 Evaluation results on manually annotated feature sets of the MTBLS562 dataset

From: G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

 

TP

FP

TN

FN

P

R

F

F_ACC

A_ACC

MZmine2 RANSAC

7822

25

0

433

0.997

0.948

0.972

0.945

0.744

OpenMS

8221

34

0

25

0.996

0.997

0.996

0.993

0.841

XCMS Group

6115

847

0

1318

0.878

0.823

0.850

0.739

0.145

XCMS OBI-Warp

6230

868

0

1182

0.878

0.841

0.859

0.752

0.169

Local bipartite

8173

1

0

106

1.000

0.987

0.993

0.987

0.937

G-Aligner Greedy

8269

3

0

8

1.000

0.999

0.999

0.999

0.976

G-Aligner Gurobi

8272

3

0

5

1.000

0.999

1.000

0.999

0.981

G-Aligner VLSNS_MSR

8272

3

0

5

1.000

0.999

1.000

0.999

0.981

G-Aligner VLSNS_MSG

8272

3

0

5

1.000

0.999

1.000

0.999

0.981

  1. The results with the highest performance in the comparison are indicated in bold