<p>(A) Agglomerative hierarchical clustering analysis was performed on average quantified Western blot data (signaling protein data only) using Cluster 3.0 and visualized with TreeView. The distance metric was Pearson's correlation coefficient. In the diagram, RR = RA/RA, RD = RA/D<sub>3</sub>, R- = RA/-, DD = D<sub>3</sub>/D<sub>3</sub>, DR = D<sub>3</sub>/RA, and D- = D<sub>3</sub>/-. (B-E). Clustering analysis across all treatment cases and all results (cytometry phenotyping data and Western blot signaling protein data) was performed using SYSTAT 8.0. In B-E, CTD refers to pS289/296/301c-Raf. (B) Clustering for WT HL-60. (C) Clustering for R38+. (D) Clustering for R38−. (E) WT and R38+ cluster more closely to each other than ...
<p>Hierarchical clustering of the osteosarcoma cell lines based on the expression level of the 350 g...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>Clustering based on all protein pairs for CD34+CD38- vs. Bulk (p ≤ 10<sup>-10</sup>). The same tw...
<p>Hierarchical clustering on the ‘core’ dataset (A) as well as on the union (B) of all identified a...
<p>Unsupervised hierarchical clustering analysis produced five main clusters. The clusters correspon...
<p><b>Copyright information:</b></p><p>Taken from "The influence of tumor size and environment on ge...
<p>Hierarchical clustering was performed on 370 protein levels (rows) for 5 µM cisplatin apoptosis a...
<p>Samples were clustered based on the similarity of their protein expression profiles observed in l...
<p>(A) All the data were median centred and clustered using a hierarchical clustering. A cluster ima...
Detecting clusters of data points in physical or high-dimensional (HD) space is a common task in bio...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>The average-linkage hierarchical clustering with Pearson correlation distance was applied. The va...
<p>Pearson’s dissimilarity as distance measure and Ward’s method for linkage analysis were used. Log...
<p>(A) Association of the clusters based on the t-SNE-map with the tissue types. A star indicates si...
<p>Hierarchical clustering of the osteosarcoma cell lines based on the expression level of the 350 g...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...
<p>Clustering based on all protein pairs for CD34+CD38- vs. Bulk (p ≤ 10<sup>-10</sup>). The same tw...
<p>Hierarchical clustering on the ‘core’ dataset (A) as well as on the union (B) of all identified a...
<p>Unsupervised hierarchical clustering analysis produced five main clusters. The clusters correspon...
<p><b>Copyright information:</b></p><p>Taken from "The influence of tumor size and environment on ge...
<p>Hierarchical clustering was performed on 370 protein levels (rows) for 5 µM cisplatin apoptosis a...
<p>Samples were clustered based on the similarity of their protein expression profiles observed in l...
<p>(A) All the data were median centred and clustered using a hierarchical clustering. A cluster ima...
Detecting clusters of data points in physical or high-dimensional (HD) space is a common task in bio...
<p>Hierarchical clustering of the ComBat-merged MPH dataset recreates clear normal-like, fibroprolif...
<p>The average-linkage hierarchical clustering with Pearson correlation distance was applied. The va...
<p>Pearson’s dissimilarity as distance measure and Ward’s method for linkage analysis were used. Log...
<p>(A) Association of the clusters based on the t-SNE-map with the tissue types. A star indicates si...
<p>Hierarchical clustering of the osteosarcoma cell lines based on the expression level of the 350 g...
<p>Hierarchical clustering analysis (A) and PCA (B), percentage of individuals clustering together i...
<p>The phenotype data was subject to hierarchical clustering analysis using the Pearson correlation ...