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Fig. 2 | Genome Biology

Fig. 2

From: Correcting batch effects in large-scale multiomics studies using a reference-material-based ratio method

Fig. 2

Multiomics measurements are prone to batch effects and can be corrected using appropriate methods. a-c PCA plots based on different batch-effect correction algorithms (BECAs) in balanced and confounded scenarios, using transcriptomics (a), proteomics (b), and metabolomics (c) data. Plots were color-coded by donor (D5, F7, and M8), and shaped by batch. (d) Bar plot of signal-to-noise ratio (SNR) using different BECAs on transcriptomics, proteomics, and metabolomics data

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Genome Biology

ISSN: 1474-760X

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