The Korean Journal of Clinical Laboratory Science : eISSN 2288-1662 / pISSN 1738-3544

Fig. 1.

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Comparing PCA plot of simulated dataset with or without outlier. PC1 (A or X%) and PC2 (B or Y%) describes the most and second most variation within the data, which accounts for (A or X%) or (B or Y%) of the variance respectively (A>B; X>Y).
Abbreviations: PCA, principal component analysis; PC1, principal component1; PC2, principal component2.
Korean J Clin Lab Sci 2023;55:235-43
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