<p>The heatmap was generated by performing unsupervised hierarchical clustering of the gene expression data, and represents the natural grouping of patients according to the similarity of their gene expression profiles, as represented in the dendrogram. This clustering is based only on the gene expression data, and is done without respect to the treatment group. The dendrogram arm lengths are a measure of sample similarity, and they provide a simplified view of which samples are most similar to one another.</p
<p>The heat maps were created with the GSEA program comparing probe set signal levels for subjects i...
<p>Heat Map and global gene expression analysis: Unsupervised hierarchical clustering of glycan gene...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Clustering was based on log<sub>2</sub>-transformed Fragments Per Kilobase Exon model per Million...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p><i>Left</i>: Heat map of gene expression profiles for the clusters of genes. Each row represents ...
<p>The heat map shows the gene expression of samples in columns, with a dendogram representing their...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
<p>Heatmap showing unsupervised clustering of expression Z-scores of 256 unique genes from the list ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>The heat maps were created with the GSEA program comparing probe set signal levels for subjects i...
<p>Heat Map and global gene expression analysis: Unsupervised hierarchical clustering of glycan gene...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Clustering was based on log<sub>2</sub>-transformed Fragments Per Kilobase Exon model per Million...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p><i>Left</i>: Heat map of gene expression profiles for the clusters of genes. Each row represents ...
<p>The heat map shows the gene expression of samples in columns, with a dendogram representing their...
Clustering techniques are used to arrange genes in some natural way, that is, to organize genes into...
<p>Heatmap showing unsupervised clustering of expression Z-scores of 256 unique genes from the list ...
<p>The cluster shown represents 3,117 genes. Each row represents a gene, whereas each column corresp...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>The heat maps were created with the GSEA program comparing probe set signal levels for subjects i...
<p>Heat Map and global gene expression analysis: Unsupervised hierarchical clustering of glycan gene...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...