B
C A
A) The orthogonal-projection to latent structure-discriminant analysis (O-PLS-DA)
score plot of mild UC vs. UC in remission displays the 1st PLS component (t[1]) and one orthogonal component (to[1]). A two-way separation of the samples is
demonstrated in accordance with group belongings, R2X(cum)=0.27 and
Q2(cum)=0.30. However, the model failed the validation procedures. B) Variable importance in the projection (VIP) scores based on the O-PLS-DA model of mild UC vs. UC in remission aligned in a descending order; 9 variables have a VIP- score > 1.5. C) S-plot based on the O-PLS-DA model of mild UC vs. UC in remission. The 9 variables with VIP-scores > 1.5 are the analytes with the highest positive and negative w[1] values (open red squares to the right).
Supplementary Figures 1 and 2
Figure 1, mild UC vs remission
A
Figure 2, moderate UC vs remission
B A
C
A) The orthogonal-projection to latent structure-discriminant analysis (O-PLS-DA)score plot of moderate UC vs. UC in remission displays the 1st PLS component (t[1]) and one orthogonal component (to[1]). A partial two-way separation of the samples is demonstrated in accordance with group belongings, R2X(cum)=0.11 and Q2(cum)=0.05, and the model accordingly failed the validation procedures. B) Variable importance in the projection (VIP) scores based on the O-PLS-DA model of moderate UC vs. UC in remission aligned in a descending order; 8 variables have a VIP-score > 1.5. C) S-plot based on the O-PLS-DA model of moderate UC vs. UC in remission. The 8 variables with VIP-scores >1.5 are the analytes with the highest positive and negative w[1] values (open red squares to the right).
