Principal component analysis (PCA) shows intergroup separation is shown on the X axis and intra-group variability on the Y axis based on serum metabolite and lipid profiles. Treatment responsive subjects are represented in cyan blue and treatment non-responsive subjects are represented in purple in each plot. (A) MM Status (Yes n = 51 vs. No n = 47) (B) change in (Δ) QMG score (> 40% n = 59 vs ≤ 0% n = 19), (C) change in (Δ) MG-ADL score (> 40% n = 69 vs D) Responders (Responders n = 69 vs Non-responders n = 11).</p
Principal component analysis of the GC-MS metabolomic data from aqueous humor samples from control (...
<p>The OPLS-DA (orthogonal partial least square discriminant analysis) scores plot (A) shows cluster...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...
Principal component analysis (PCA) shows intergroup separation is shown on the X axis and intra-grou...
<p>(A) PCA score plot of PC2 versus PC1. The control group (<i>n</i> = 5), food-restricted group (<i...
(A) MMS status (responsive Yes vs non-responsive No) (B) change in (Δ) QMG (responsive > 40% vs. non...
<p>Panel A illustrates that plotting the first two principal components (PCs) results in a clear-cut...
Axes represent principal component (PC) scores. The percent of the variation explained by each compo...
<p>Triangle – male volunteer, circle – female volunteer, coloured according to volunteers, labels sh...
(A) Principal component analysis (PCA) plot of global fecal, urinary and plasma metabolomes changes ...
<p>(A) PCA score plot for the control and HI groups. (black triangle, control group; red square, mod...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
Heatmaps are show in A-D. Each row represents a metabolite or lipid and each column represents a sam...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(A) The score plot showing the separation between the Case group(X) and the Control group (o) (B)...
Principal component analysis of the GC-MS metabolomic data from aqueous humor samples from control (...
<p>The OPLS-DA (orthogonal partial least square discriminant analysis) scores plot (A) shows cluster...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...
Principal component analysis (PCA) shows intergroup separation is shown on the X axis and intra-grou...
<p>(A) PCA score plot of PC2 versus PC1. The control group (<i>n</i> = 5), food-restricted group (<i...
(A) MMS status (responsive Yes vs non-responsive No) (B) change in (Δ) QMG (responsive > 40% vs. non...
<p>Panel A illustrates that plotting the first two principal components (PCs) results in a clear-cut...
Axes represent principal component (PC) scores. The percent of the variation explained by each compo...
<p>Triangle – male volunteer, circle – female volunteer, coloured according to volunteers, labels sh...
(A) Principal component analysis (PCA) plot of global fecal, urinary and plasma metabolomes changes ...
<p>(A) PCA score plot for the control and HI groups. (black triangle, control group; red square, mod...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
Heatmaps are show in A-D. Each row represents a metabolite or lipid and each column represents a sam...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(A) The score plot showing the separation between the Case group(X) and the Control group (o) (B)...
Principal component analysis of the GC-MS metabolomic data from aqueous humor samples from control (...
<p>The OPLS-DA (orthogonal partial least square discriminant analysis) scores plot (A) shows cluster...
<p>Feature intensities of 22 LC-MS runs were plotted according to the first two principal components...