Permutation analysis of ANOVA-PLS, showing actual model misclassifications as vertical lines with p-value calculated as the cumulative probability of finding the actual model result is a Student’s t-distribution of misclassification results obtained from randomly permuted data (n = 300 per model). The permutation distribution had median value of 91 misclassifications, corresponding exactly to the expected value of 182 observations in a two-class problem. The results show strong predictive modelling performance with absence of overfitting in the validation frameworks. (EPS 418 kb
Table S1. Differential metabolites according mortality (full list). Figure S1. Clinical specificity ...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
70 metabolites significantly differed across all brain regions. The significance of the metabolites ...
S-plot in orthogonal projections to latent structures with effect matrix (OPLS-EP) model comparing v...
S-plot in orthogonal projections to latent structures with discriminant analysis (OPLS-DA) model com...
Statistical validation by permutation analysis using 200 different model permutations. (TIFF 240Â kb
Supplementary methods for NMR metabolomics data acquisition, additional table (Table S1. Metabolites...
Supplementary material. Expanded methods and results. Table S1. Demographic and Clinical Characteris...
Comparison of prediction errors for the five sampling strategies, for n = 6 (n = 2 per hospital type...
Comparison of prediction errors for the five sampling strategies, for n = 18 (n = 6 per hospital typ...
Table S1. Assignment of spectra recorded with one exemplar serum sample from a septic shock patient....
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Results for the regression model of the unstratified population with the five MetS. Table S2âS4. R...
Table S1. Potential serum biomarkers identified by 1H NMR and their means and standard deviation val...
Summary of 2-way ANOVA. Significance of time, group and time x group effects of conventional metabol...
Table S1. Differential metabolites according mortality (full list). Figure S1. Clinical specificity ...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
70 metabolites significantly differed across all brain regions. The significance of the metabolites ...
S-plot in orthogonal projections to latent structures with effect matrix (OPLS-EP) model comparing v...
S-plot in orthogonal projections to latent structures with discriminant analysis (OPLS-DA) model com...
Statistical validation by permutation analysis using 200 different model permutations. (TIFF 240Â kb
Supplementary methods for NMR metabolomics data acquisition, additional table (Table S1. Metabolites...
Supplementary material. Expanded methods and results. Table S1. Demographic and Clinical Characteris...
Comparison of prediction errors for the five sampling strategies, for n = 6 (n = 2 per hospital type...
Comparison of prediction errors for the five sampling strategies, for n = 18 (n = 6 per hospital typ...
Table S1. Assignment of spectra recorded with one exemplar serum sample from a septic shock patient....
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Results for the regression model of the unstratified population with the five MetS. Table S2âS4. R...
Table S1. Potential serum biomarkers identified by 1H NMR and their means and standard deviation val...
Summary of 2-way ANOVA. Significance of time, group and time x group effects of conventional metabol...
Table S1. Differential metabolites according mortality (full list). Figure S1. Clinical specificity ...
Figure S1. Scatterplots of the UPS1 dataset showing the position of the true positives and the true ...
70 metabolites significantly differed across all brain regions. The significance of the metabolites ...