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Table 2 Evaluation results on manually annotated feature sets of the QE HF 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

7982

103

0

265

0.987

0.968

0.977

0.956

0.831

OpenMS

8167

146

0

37

0.982

0.995

0.989

0.978

0.902

XCMS Group

6812

629

0

909

0.915

0.882

0.899

0.816

0.715

XCMS OBI-Warp

6749

677

0

924

0.909

0.880

0.894

0.808

0.667

Local bipartite

8019

78

0

253

0.990

0.969

0.980

0.960

0.884

G-Aligner Greedy

8320

12

0

18

0.999

0.998

0.998

0.996

0.989

G-Aligner Gurobi

8323

7

0

20

0.999

0.998

0.998

0.997

0.989

G-Aligner VLSNS_MSR

8323

7

0

20

0.999

0.998

0.998

0.997

0.989

G-Aligner VLSNS_MSG

8323

7

0

20

0.999

0.998

0.998

0.997

0.989

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