<p>Subject BCa diagnosis (post urine collection) is indicated in the lower bar. Clustering was performed using complete linkage and Pearsons's correlation as the similarity metric.</p
<p>Summary of hierarchical clustering analysis of the immunohistochemical data of 21 UCP1-positive c...
MOTIVATION: It has been proposed that clustering clinical markers, such as blood test results, can b...
It has been proposed that clustering clinical markers, such as blood test results, can be used to st...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>The cohort included 65 normal controls (NC), 88 patients with clinically evident bladder cancer (...
<p>Hierarchical clustering was performed by using the expression values from the markers with differ...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>Hierarchical clustering was performed by using the expression values from the genes related to AD...
<p>A correlation matrix together with clustering (i.e., Pearson uncentered) of the feature points is...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
<p><b>(A)</b> Hierarchical clustering heat map of percentages of positive cells for FOXP3, PD-L1, CD...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
<p>Summary of hierarchical clustering analysis of the immunohistochemical data of 21 UCP1-positive c...
MOTIVATION: It has been proposed that clustering clinical markers, such as blood test results, can b...
It has been proposed that clustering clinical markers, such as blood test results, can be used to st...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>The cohort included 65 normal controls (NC), 88 patients with clinically evident bladder cancer (...
<p>Hierarchical clustering was performed by using the expression values from the markers with differ...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>Hierarchical clustering was performed by using the expression values from the genes related to AD...
<p>A correlation matrix together with clustering (i.e., Pearson uncentered) of the feature points is...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Cancer samples and normal donor samples (brackets) were clustered using a hierarchical clustering...
<p><b>(A)</b> Hierarchical clustering heat map of percentages of positive cells for FOXP3, PD-L1, CD...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
We present a methodology for subtyping of persons with a common clinical symptom complex by integrat...
<p>Summary of hierarchical clustering analysis of the immunohistochemical data of 21 UCP1-positive c...
MOTIVATION: It has been proposed that clustering clinical markers, such as blood test results, can b...
It has been proposed that clustering clinical markers, such as blood test results, can be used to st...