<p>Dendrograms from unsupervised hierarchical clustering of the osteosarcoma cell lines, normal bone and normal osteoblast samples based on genome-wide (A) mRNA expression (vst transformed and quantile normalised probe intensities), (B) DNA methylation (probe beta values) and (C) DNA copy number (probe intensities). The osteosarcoma cell lines have been colour-coded in gray and black, highlighting the two main subclusters, the normal bone samples in red and the normal osteoblast samples in blue. The clusters were made using Spearman correlation as distance measure and complete linkage.</p
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Spearman correlation of gene expression profiles is used to define the gene expression profiles s...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>Hierarchical clustering of the osteosarcoma cell lines based on the expression level of the 350 g...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>. 361 miRNAs expressed in at least 75% of the bone samples and/or 25% of the osteosarcoma cell li...
<p>Unsupervised Hierarchical Clustering of all samples following quantile normalization highlighting...
<p>Control-, TINT-, tumor samples, and the AT-1 cell line were clustered based on the entire microar...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>A) Unsupervised Euclidean hierarchical clustering was performed using beta values for the 1347 mo...
<p><b>Copyright information:</b></p><p>Taken from "The influence of tumor size and environment on ge...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p>Unsupervised hierarchical clustering on the entire DNA methylation data set showed the 2 clusters...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Spearman correlation of gene expression profiles is used to define the gene expression profiles s...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...
<p>Hierarchical clustering of the osteosarcoma cell lines based on the expression level of the 350 g...
<p>Dendrogram generated after agglomerative hierarchical clustering using Euclidean distance, comple...
<p>. 361 miRNAs expressed in at least 75% of the bone samples and/or 25% of the osteosarcoma cell li...
<p>Unsupervised Hierarchical Clustering of all samples following quantile normalization highlighting...
<p>Control-, TINT-, tumor samples, and the AT-1 cell line were clustered based on the entire microar...
<p>Dendrogram for clustering experiments was created using centred correlation and average linkage m...
<p>A) Unsupervised Euclidean hierarchical clustering was performed using beta values for the 1347 mo...
<p><b>Copyright information:</b></p><p>Taken from "The influence of tumor size and environment on ge...
Tumor identification appears at the top of the figure and each column represents gene expression of ...
<p>Unsupervised hierarchical clustering on the entire DNA methylation data set showed the 2 clusters...
<p>a) Clustering based on GSE4554 and b) Clustering based on the four largest batches of the TCGA RN...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>Spearman correlation of gene expression profiles is used to define the gene expression profiles s...
<p>Young patients are shown in black, older patients are shown in grey. The clustering was performed...