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. Author manuscript; available in PMC: 2022 Mar 27.
Published in final edited form as: Metabolomics. 2021 Mar 27;17(4):37. doi: 10.1007/s11306-021-01787-2

Figure 5. Effect of pre-treatment and imputation methods on PLS-DA scores.

Figure 5.

Representative PLS-DA score plots of 23 samples with chemotherapy response data categorized as disease control (DC) vs. progressive disease (PD). The following pre-treatment methods and imputation methods were applied: (A) Log transformation and RF imputation, (B) Level scaling and RF imputation, (C) Vast scaling and PMM imputation, (D) Pareto scaling and PMM imputation. Panels A and C achieved a statistically significant separation between the DC and PD groups (p ≤ 0.05), while panels B and D did not reach significance.