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Metabolomics Datasets for Optimization of Pre-Processing

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Project Status: Active – The project has reached a stable, usable state and is being actively developed.

MetDatOpPp

Metabolomics Datasets for Optimization of Pre-Processing from Metabolomics Workbench and MetaboLights repositories or from original R packages. FIMS or semi-targeted experiments are not considered. All data were collected from LC-HRMS instruments (except MTBLS 2483 - LC-LRMS). All missing values were coded as gaps. Non-informative columns and samples were preliminarily deleted. The table contains key information about datasets: file name, source link, label for LC/MS run order, number of batches, total number of factors and two columns with structure of factors.

File Name Source Run Order Batch Total Factors Numeric Factors Categorical Factors Number of: Samples/Features/QCs
MTBLS 146 Link + 2 3 2 1 (5 levels) 217/1312/57
MTBLS 664 C18 neg Link + 4 1 0 1 (3 levels) 456/5142/30
MTBLS 664 HILIC pos Link + 4 1 0 1 (3 levels) 456/6906/30
MTBLS 665 C18 neg Link + 2 2 0 2 (4, 2 levels) 192/6671/12
MTBLS 665 HILIC pos Link + 2 2 0 2 (4, 2 levels) 192/8197/12
MTBLS 2483 Link + 15 3 1 2 (2, 2 levels) 1447/83/163
MW 387 Link + 1 1 0 1 (2 levels) 276/708/26
MW 1200 RP Link + 7 0 0 0 320/5244/42
MW 1200 HILIC Link + 7 0 0 0 319/10371/42
MW 1682 Link + 13 4 2 2 (2, 2 levels) 311/982/63
MW 1722 Link + 2 2 0 2 (2, 2 levels) 110/194/32
Amide_data WaveICA Link + 4 1 0 1 (2 levels) 729/6969/85
Amide_data WaveICA 2.0 Link + 3 1 0 1 (2 levels) 642/6461/74
Set_1 BatchCorrMetabolomics Link + 6 0 0 0 761/567/51
OneBatchData batchCorr Link + 1 0 0 0 34/11284/18
ThreeBatchData batchCorr Link + 3 0 0 0 90/11815/48
SERRF Link + 4 0 0 0 1287/268/125

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Please send any comment, suggestion or question you may have to the author (Dr. Ivan Plyushchenko), email: plyushchenko.ivan@gmail.com.

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