<p>The two filtering methods are that according to Golub or using the Interquartile Range <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0050253#pone.0050253-Golub1" target="_blank">[21]</a>. The normalisation methods are farms, rma or gcrma. The probeset sizes are approximately 1000 (L) or approximately 300 (S). The arrays are assigned to clusters 1,2,3 or 0 means there is no consensus and gaps indicate not cluster was assigned from that dendrogram.</p
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
Hierarchical Clustering. Hierarchical clustering methods construct a dendro-gram of the input datase...
A dendrogram is often used to display the results from hierarchical clustering; however, the order o...
<p>Cluster dendrogram from hierarchical agglomerative clustering of the gcrma normalised data, filte...
<p>A hierarchical cluster analysis on the Euclidean distances between species scores and an average ...
Dendrogram resulting from hierachical clustering analysis and presenting different clusters of corre...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
The two-cluster solution in this analysis had a semipartial R2 value of 0.072, and two clusters seem...
<p>Dendrogram obtained by performing cluster analysis on Probe1 <<i>τ<sub>D</sub></i>> values, apply...
<p>Dendrogram (A) shows the SIMPROF cluster results prior to splitting and consolidation of clusters...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
<p>The algorithms used in the study are clustered into five clusters. Cluster 1 and 2 involve the al...
A dendrogram from the cluster analysis using Ward’s hierarchical method for the observed concentrati...
<p>Cluster analysis dendrogram of the 20 plots investigated in the third observation.</p
<p>Dendrogram resulting from the Hierarchical Clustering Analysis of the 16 variables.</p
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
Hierarchical Clustering. Hierarchical clustering methods construct a dendro-gram of the input datase...
A dendrogram is often used to display the results from hierarchical clustering; however, the order o...
<p>Cluster dendrogram from hierarchical agglomerative clustering of the gcrma normalised data, filte...
<p>A hierarchical cluster analysis on the Euclidean distances between species scores and an average ...
Dendrogram resulting from hierachical clustering analysis and presenting different clusters of corre...
The vertical axis of the dendrogram represents the distance or dissimilarity between labeled cluster...
The two-cluster solution in this analysis had a semipartial R2 value of 0.072, and two clusters seem...
<p>Dendrogram obtained by performing cluster analysis on Probe1 <<i>τ<sub>D</sub></i>> values, apply...
<p>Dendrogram (A) shows the SIMPROF cluster results prior to splitting and consolidation of clusters...
<p>The frequency of each ICD-10 code is in parenthesis in percentage of the total population of pati...
<p>The algorithms used in the study are clustered into five clusters. Cluster 1 and 2 involve the al...
A dendrogram from the cluster analysis using Ward’s hierarchical method for the observed concentrati...
<p>Cluster analysis dendrogram of the 20 plots investigated in the third observation.</p
<p>Dendrogram resulting from the Hierarchical Clustering Analysis of the 16 variables.</p
<p>Each pair of datasets of the same disease cluster together based on hierarchical clustering appli...
Hierarchical Clustering. Hierarchical clustering methods construct a dendro-gram of the input datase...
A dendrogram is often used to display the results from hierarchical clustering; however, the order o...