<p>Heatmap was constructed based on clustering results from metabolite profiles of chronic pressure ulcer biopsies sectioned into top (green) and bottom (red) samples. Heatmap features the top twenty-five metabolite features as identified by t-test analysis (p≤0.05). Distance measure is by Pearson correlation and clustering is determined using the Ward algorithm.</p
<p>The color code indicates the metabolites abundance. To enable the comparison of data obtained fro...
<p>Hierarchical clustering heat map of potential biomarker profiles for (A) plasma analytes and (B) ...
<p>The metric used to cluster this data is based on the t-statistic generated from the Student’s t-t...
<p>Colored heatmap, visualizing the results of hierarchical cluster analysis. Concentration values a...
<p>Metabolite feature areas were normalized and range-scaled across all experimental samples in a su...
<p>The 20 minute metabolomes are compared in (A), while the 18 hour metabolomes are compared in (B)....
<p>The endoscopy collected fecal metabolomes are compared in (A) while the home collected fecal meta...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
Metabolite feature areas were normalized and range-scaled across all experimental samples at 2 diffe...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
<p>The colors represent the cube root changes of each metabolite relative to the mean control level....
<p>Each column represents a sample, and each row represents a metabolite. The mean signal intensity ...
<p>Shown is a heatmap of the relative enrichment of each metabolite across the entire sample set and...
<p>The heatmap was constructed based on the differential metabolites. The data of heatmap were norma...
<p>The color code indicates the metabolites abundance. To enable the comparison of data obtained fro...
<p>Hierarchical clustering heat map of potential biomarker profiles for (A) plasma analytes and (B) ...
<p>The metric used to cluster this data is based on the t-statistic generated from the Student’s t-t...
<p>Colored heatmap, visualizing the results of hierarchical cluster analysis. Concentration values a...
<p>Metabolite feature areas were normalized and range-scaled across all experimental samples in a su...
<p>The 20 minute metabolomes are compared in (A), while the 18 hour metabolomes are compared in (B)....
<p>The endoscopy collected fecal metabolomes are compared in (A) while the home collected fecal meta...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
Metabolite feature areas were normalized and range-scaled across all experimental samples at 2 diffe...
<p>Heat maps were generated with the concentrations of potential candidate metabolites with univaria...
<p>The colors represent the cube root changes of each metabolite relative to the mean control level....
<p>Each column represents a sample, and each row represents a metabolite. The mean signal intensity ...
<p>Shown is a heatmap of the relative enrichment of each metabolite across the entire sample set and...
<p>The heatmap was constructed based on the differential metabolites. The data of heatmap were norma...
<p>The color code indicates the metabolites abundance. To enable the comparison of data obtained fro...
<p>Hierarchical clustering heat map of potential biomarker profiles for (A) plasma analytes and (B) ...
<p>The metric used to cluster this data is based on the t-statistic generated from the Student’s t-t...