Fig. 2: Examples of typical technical variations and signal drifts within each batch for different metabolites and comparison to normalised data. | Nature Communications

Fig. 2: Examples of typical technical variations and signal drifts within each batch for different metabolites and comparison to normalised data.

From: A hierarchical approach to removal of unwanted variation for large-scale metabolomics data

Fig. 2

(Note vertical scale change.). ac PCA plots of raw data in batches 6, 7 and 10 respectively, each marker is coloured by the sample run order. df Run plots exhibiting metabolite signal drift for glucose, glutamine, and 1-methylhistamine respectively, for their respective batches. gi PCA plots from the same batches as ac respectively with intra-batch normalised data using loessSampleShort method. jl Run plot for the metabolites and batches illustrated in df but with intra-batch data normalised using loessSampleShort method. Source data are provided as a Source Data file.

Back to article page