<p>(A) Dendogram. The colors of the branches represent the three largest clusters. (B) PCA biplot. Axes represent the first and the second principal components (PCs). Percentages on the axes indicate the percentage of total variance explained by each PC. Arrows in the biplot represent the phenotypic characteristics. Dots indicate isolates, and the colors of the dots/isolate numbers correspond to particular clades. Closed lines indicate the areas in the space of PCs restricted by the isolates of the same clade. Shaded fields indicate areas restricted by the clusters determined in the dendogram.</p
<p>A) Hierarchical clustering of yeast lipidomes using lipidomic features (see text) reveals three m...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>This dendrogram represents the result of the HCA (Hierarchical cluster analysis). The plot shows ...
<p>(A) Dendogram that shows similarity between the <i>G</i>. <i>vaginalis</i> isolates. The colors o...
<p>(A) Biplot of principal component analysis based on variant vectors. The dots show the eight <i>B...
<p>a) Dendrogram illustrating hierarchical clustering of all observations based on the position alon...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
<p>Principal component analysis of the abundance pattern of bacterial genera across the three cluste...
<p>In contrast, gene expression of cultures stored at 37°C (green) showed a distant clustering compa...
<p>Principal component analysis <b>(A)</b> of the metabolic profiles of all isolates from both serie...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Phenotypic clusters (PC 1–5) are grouped within circles. PFGE clusters are represented by dots wi...
<p>(a) The T-RFLP profiles were classified into two clusters by hierarchical cluster analysis (orang...
A corresponds to the ordination of parameters and correlation circle. B corresponds to the position ...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>A) Hierarchical clustering of yeast lipidomes using lipidomic features (see text) reveals three m...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>This dendrogram represents the result of the HCA (Hierarchical cluster analysis). The plot shows ...
<p>(A) Dendogram that shows similarity between the <i>G</i>. <i>vaginalis</i> isolates. The colors o...
<p>(A) Biplot of principal component analysis based on variant vectors. The dots show the eight <i>B...
<p>a) Dendrogram illustrating hierarchical clustering of all observations based on the position alon...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
<p>Principal component analysis of the abundance pattern of bacterial genera across the three cluste...
<p>In contrast, gene expression of cultures stored at 37°C (green) showed a distant clustering compa...
<p>Principal component analysis <b>(A)</b> of the metabolic profiles of all isolates from both serie...
<p>Principal Component Analysis biplots: A. Bioclimatic variables PC2 vs. PC1, B. Bioclimatic variab...
<p>Phenotypic clusters (PC 1–5) are grouped within circles. PFGE clusters are represented by dots wi...
<p>(a) The T-RFLP profiles were classified into two clusters by hierarchical cluster analysis (orang...
A corresponds to the ordination of parameters and correlation circle. B corresponds to the position ...
<p>(A) Histogram of eigenvalues, (B) Principal Component Analysis (PCA) plot of factor loadings in t...
<p>A) Hierarchical clustering of yeast lipidomes using lipidomic features (see text) reveals three m...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>This dendrogram represents the result of the HCA (Hierarchical cluster analysis). The plot shows ...