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. 2022 Apr 18;20(5):965–982. doi: 10.2174/1570159X19666210611095320

Table 7.

Validation of the models for the separation of the metabolites in urine and serum samples.

Phenotype Under Study Samples Models N A R2Y Q2Y pcv ANOVA
TNMDD vs. HC Serum PLS-DA 32 2 0.767 0.595 6.24429e-005*
OPLSDA 32 1+1+0 0.767 0.599 3.9984e-005*
Urine PLS-DA 19 2 0.485 0.024 0.9665
OPLSDA 19 1+1+0 0.485 0.173 0.584
TNMDD on SSRI treatment for 2 weeks
vs. HC
Serum PLS-DA 24 2 0.832 0.662 0.00055*
- OPLSDA 24 1+1+0 0.832 0.595 0.00124*
Urine PLS-DA 22 2 0.628 0.450 0.0306*
- OPLSDA 22 1+1+0 0.628 0.425 0.0417*
TNMDD vs. TNMDD on SSRI treatment for 2 weeks Serum PLS-DA 33 2 0.493 0.303 0.0205
OPLSDA 33 1+1+ 0 0.493 0.309 0.0301
Urine PLS-DA 14 2 0.597 0.157 0.7032
OPLSDA 14 1+1+0 0.597 0.349 0.3734
Responder vs. non-responders to SSRI treatment for 2 weeks Serum PLS-DA 18 2 0.671 0.380 0.1578
OPLSDA 18 1+1+0 0.671 0.333 0.2268
Urine PLS-DA 14 2 0.574 0.161 0.500
OPLSDA 14 1+1+0 0.574 0.125 1.000
Adverse effect vs. no-adverse effect to SSRI treatment for 2 weeks Serum PLS-DA 17 2 0.626 0.294 0.2055
OPLSDA 17 1+2+0 0.72 0.281 0.6890
Urine PLS-DA 12 2 0.464 -0.21 1.000
OPLSDA 12 1+1+0 0.464 -0.164 1.000

Abbreviations: PLSDA = Partial Least Square Discriminant Analysis, OPLSDA = Orthogonal Projections to Latent Structures- Discriminant Analysis, N = sample size, A = number of principal components, R2Y = measure of the reliability of the model, Q2Y = measure of predictability of model, pCV ANOVA*= statistics for cross-validation.