Skip to main content

Table 1 Information about the total number of molecular features, number of missing values and total number of complete molecular features in each dataset

From: Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study

Study

LC-MS analytical mode

Total number of molecular features

Number of missing values per dataset

Number of molecular features without missing values

KIHD

Hillic positive

2407

7519

204

Hillic negative

1228

64,256

299

RP positive

1228

24,451

509

RP negative

2407

95,079

498

BS

 Start(T0)

Hillic positive

1290

7140

518

 End (T1)

Hillic positive

1290

7131

508

 Start(T0)

Hillic negative

725

2701

383

 End (T1)

Hillic negative

725

2766

383

 Start(T0)

RP positive

1177

11,679

1066

 End (T1)

RP positive

1177

11,526

1152

 Start(T0)

RP negative

2286

4643

578

 End (T1)

RP negative

2286

5146

559