<p>The experimental conditions were submitted to hierarchical clustering and the corresponding heat map and cluster tree are shown. The clustering analysis determines a classification in two big clusters including the acute (C1) and delayed transplant (C2). In these two clusters the MSC and the OEC induced profile at 2 days (C1.1 and C2.1) and at 7 days (C1.2 and C2.2) after acute or delayed treatment were grouped.</p
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Tree structure where each of the stages of the disease has been clustered in a single cluster usi...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Hierarchical clustering of the 2414 contigs among 3 groups (from left to right: resistant, subcli...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
A) top panel–attribute clustering tree, left panel–patient clustering tree, central panel–dataset he...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
Hierarchical Clustering for timepoint 3 (Numbers refer to patients as per Table 1) (a) and relative ...
Shown is the heat map resulting from the hierarchical clustering of the gene set variation (GSVA) en...
<p>Summary of hierarchical clustering analysis of the immunohistochemical data of 21 UCP1-positive c...
Hierarchical clustering for timepoint 0 (Numbers refer to patients as per Table 1) (a) and relative ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Tree structure where each of the stages of the disease has been clustered in a single cluster usi...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Hierarchical clustering of the 2414 contigs among 3 groups (from left to right: resistant, subcli...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
A) top panel–attribute clustering tree, left panel–patient clustering tree, central panel–dataset he...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
Two-way hierarchical clustering using Ward's minimum variance as the heuristic criteria and Euclidea...
Hierarchical Clustering for timepoint 3 (Numbers refer to patients as per Table 1) (a) and relative ...
Shown is the heat map resulting from the hierarchical clustering of the gene set variation (GSVA) en...
<p>Summary of hierarchical clustering analysis of the immunohistochemical data of 21 UCP1-positive c...
Hierarchical clustering for timepoint 0 (Numbers refer to patients as per Table 1) (a) and relative ...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Tree structure where each of the stages of the disease has been clustered in a single cluster usi...
<p>Each row and column means an individual gene and an individual patient sample, respectively. Afte...