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Fig. 1 | BMC Bioinformatics

Fig. 1

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

Fig. 1

Description of the datasets. Datasets from two different studies were used; KIHD (Kuopio Ischaemic Heart Disease Risk Factor Study) and BS (Berry Study).The data were analyzed with LC-MS technology and each analytical chromatographic mode is consider a separate dataset. In total 12 datasets were used a four datasets from the KIHD study and b eight datasets from the BS intervention study (four chromatographic modes per time point)

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BMC Bioinformatics

ISSN: 1471-2105

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