<p>Unsupervised Hierarchical Clustering of all samples following quantile normalization highlighting two groups of samples: tumour (violet) and adjacent non-tumour (light green) tissue. Dendrogram for clustering experiments was created using centred correlation and average linkage method. Length of nodes corresponds to correlation between samples.</p
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>Dendrograms from unsupervised hierarchical clustering of the osteosarcoma cell lines, normal bone...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>a) Dendrogram illustrating hierarchical clustering of all observations based on the position alon...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>Dendrograms from unsupervised hierarchical clustering of the osteosarcoma cell lines, normal bone...
<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expressi...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>a) Dendrogram illustrating hierarchical clustering of all observations based on the position alon...
<p>Based on the log10(IC20), the clustering used the Euclidean dissimilarity measure. A. Heat map re...
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
(a) Dendrogram illustrating the results of hierarchical clustering. (b) Silhouette coefficients calc...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...