<p>Clustering was performed by using Spearman (columns) and Euclidean (rows) distance and average linkage metrics for both genes and samples. Genes from Clusters D and G are marked by blue and red respectively. Each sample belongs to one of the 8 molecular subtypes and is marked by a bar, colored based on the subtype: basal (red), claudin-low (black), ERBB2+ (yellow), luminal A (blue), luminal B (cyan), normal-like (green), molecular Apocrine (mApo; magenta), luminal-like (dark gray).</p
<p>(A) Hierarchical clustering of 84 glycogenes. Each row represented a single gene; each column rep...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>(A) hierarchical clustering of N group (DS: D11–D15 versus control: C16–C22) based on the 174 dys...
<p>The average-linkage hierarchical clustering with Pearson correlation distance was applied. The va...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Columns represent treatments, rows represent genes. Gene expression levels are indicated by color...
<p>Dendrograms are hierarchical clustering of CMap instances based on gene expression (A) and tag en...
<p>(A) Clustering based on COG functional categories; (B) clustering based on COG functions. Hierarc...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>A two–way clustering of normalized 454 sequence count data using Ward’s hierarchical cluster algo...
Hierarchical clustering is widely used to find patterns in multi-dimensional datasets, especially fo...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
We concatenated the expression data of the 1106 genes (left after pruning based coefficient of varia...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical cluster analysis was performed as described in the Materials and Methods section. Ea...
<p>(A) Hierarchical clustering of 84 glycogenes. Each row represented a single gene; each column rep...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>(A) hierarchical clustering of N group (DS: D11–D15 versus control: C16–C22) based on the 174 dys...
<p>The average-linkage hierarchical clustering with Pearson correlation distance was applied. The va...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Columns represent treatments, rows represent genes. Gene expression levels are indicated by color...
<p>Dendrograms are hierarchical clustering of CMap instances based on gene expression (A) and tag en...
<p>(A) Clustering based on COG functional categories; (B) clustering based on COG functions. Hierarc...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>A two–way clustering of normalized 454 sequence count data using Ward’s hierarchical cluster algo...
Hierarchical clustering is widely used to find patterns in multi-dimensional datasets, especially fo...
<p>A green-red heat map was used to visualize the clustering results. As illustrated, luminal type B...
We concatenated the expression data of the 1106 genes (left after pruning based coefficient of varia...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical cluster analysis was performed as described in the Materials and Methods section. Ea...
<p>(A) Hierarchical clustering of 84 glycogenes. Each row represented a single gene; each column rep...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>(A) hierarchical clustering of N group (DS: D11–D15 versus control: C16–C22) based on the 174 dys...