FF4_qc {TIGERr}

Accompanying QC samples of KORA FF4 (demo data)

Description

This demo dataset, a data.frame with 232 samples (rows) and 108 variables (columns). The dataset includes four types of quality control (QC) samples from 29 kit plates:

• QC1 (N = 29, one per plate),

• QC2 (N = 29, one per plate),

• QC3 (N = 29, one per plate),

• QC (N = 145, five per plate).

The columns include sample ID, sample type, plate ID, well position, injection order and the concentrations of 103 selected targeted metabolites. These QC samples are measured with the cohort samples of KORA FF4 (Cooperative Health Research in the Augsburg Region, the second follow-up study, 2013–2014) using the analytical assay Biocrates AbsoluteIDQ^® p180 (BIOCRATES Life Sciences AG, Innsbruck, Austria).

In our paper, we used QC as training samples, while QC1, QC2, QC3 and cohort samples were used as test samples. The cohort data are operated by Helmholtz Zentrum München and available via KORA platform https://www.helmholtz-munich.de/en/kora/ upon reasonable request. See Reference for detailed information.

Usage

data(FF4_qc)

Reference

Han S. et al. TIGER: technical variation elimination for metabolomics data using ensemble learning architecture. Briefings in Bioinformatics (2022) bbab535. doi: 10.1093/bib/bbab535.