<p>All control subjects (green dots) are clustered within the broken ellipse that also contains one data point from each of the groups with and without inflammatory plaques (red and black dots, respectively).</p
<p>PC1 and PC2 represent the two principal component analysis used to group individuals according wi...
<p>(A) PCA score plot for the control and HI groups. (black triangle, control group; red square, mod...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...
<p>All CIS patients with inflammatory plaques (red dots), except for two, are clustered within the b...
Axes represent principal component (PC) scores. The percent of the variation explained by each compo...
<p>(A) PCA score plot of PC2 versus PC1. The control group (<i>n</i> = 5), food-restricted group (<i...
<p>Red circles—cases; blue squares—controls. The groups are visually separable, although there is st...
<p>(A) The score plot showing the separation between the Case group(X) and the Control group (o) (B)...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
<p>The PCA was based on the significant metabolites identified by the t-test. The plot shows the fir...
<div><p>The figures shows the clustering of of OxS data (DC, ROS-TAC score and 8-isoprostanes) and i...
<p>Phenotypic clusters (PC 1–5) are grouped within circles. PFGE clusters are represented by dots wi...
<p>Ellipsoids represent the 95% confidence interval and are a measure for the distance of relationsh...
<p>Panel A illustrates that plotting the first two principal components (PCs) results in a clear-cut...
<p>Principal component plot of mice fed high-fat and control diets. Each dot represents an individua...
<p>PC1 and PC2 represent the two principal component analysis used to group individuals according wi...
<p>(A) PCA score plot for the control and HI groups. (black triangle, control group; red square, mod...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...
<p>All CIS patients with inflammatory plaques (red dots), except for two, are clustered within the b...
Axes represent principal component (PC) scores. The percent of the variation explained by each compo...
<p>(A) PCA score plot of PC2 versus PC1. The control group (<i>n</i> = 5), food-restricted group (<i...
<p>Red circles—cases; blue squares—controls. The groups are visually separable, although there is st...
<p>(A) The score plot showing the separation between the Case group(X) and the Control group (o) (B)...
PCA score plot of samples from control and transgenic lines. Each with triplicate samples taken for ...
<p>The PCA was based on the significant metabolites identified by the t-test. The plot shows the fir...
<div><p>The figures shows the clustering of of OxS data (DC, ROS-TAC score and 8-isoprostanes) and i...
<p>Phenotypic clusters (PC 1–5) are grouped within circles. PFGE clusters are represented by dots wi...
<p>Ellipsoids represent the 95% confidence interval and are a measure for the distance of relationsh...
<p>Panel A illustrates that plotting the first two principal components (PCs) results in a clear-cut...
<p>Principal component plot of mice fed high-fat and control diets. Each dot represents an individua...
<p>PC1 and PC2 represent the two principal component analysis used to group individuals according wi...
<p>(A) PCA score plot for the control and HI groups. (black triangle, control group; red square, mod...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...