<p>The expression maps and spot maps with relative expression values for each are displayed as heat map using a relative scale from −1 (green) to +1 (red). A. HC of total differentially regulated proteins identified at different stages of lactation and B. HC of total differentially regulated proteins identified from high and low milk yielding samples.</p
<p>Heatmap showing unsupervised clustering of expression Z-scores of 256 unique genes from the list ...
<p>(A) The adjusted strength matrix was used for clustering, with the gene expression matrix appende...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Hierarchical clustering was performed based on all differentially expressed gene data. The result...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>(A) Differentially expressed proteins between E13.5 and E15.5. (B) Differentially expressed prote...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>This figure shows a cluster map of the proteins expressed in the different cell lines. The tree o...
<p>All the experimental groups, including the corresponding controls (PBS 8 h and PBS – MEM 8 h), we...
<p>Unsupervised hierarchical clustering was performed of the 84 and 209 proteins detected in serum a...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Heatmaps displays the log2(M) on a color scale from green indicating lower expression to red indi...
<p>Heatmap showing unsupervised clustering of expression Z-scores of 256 unique genes from the list ...
<p>(A) The adjusted strength matrix was used for clustering, with the gene expression matrix appende...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...
<p>Heat map including all samples from 4 healthy controls (light blue) and 5 HCV-positive subjects (...
<p>A heat map displays z-score normalized and unsupervised hierarchical clustering for three infecti...
<p>Hierarchical clustering was performed using gene expression data of 597 differentially expressed ...
<p>Hierarchical clustering was performed based on all differentially expressed gene data. The result...
<p>The clustering is performed on all samples and on all microRNAs with standard deviation over 1. E...
<p>(A) Differentially expressed proteins between E13.5 and E15.5. (B) Differentially expressed prote...
<p>Hierarchical clustering of 183 breast tumor samples using the 500 most variant genes across all s...
<p>This figure shows a cluster map of the proteins expressed in the different cell lines. The tree o...
<p>All the experimental groups, including the corresponding controls (PBS 8 h and PBS – MEM 8 h), we...
<p>Unsupervised hierarchical clustering was performed of the 84 and 209 proteins detected in serum a...
<p>Hierarchical clustering was used to analyze the gene expression data by arranging the samples int...
<p>Heatmaps displays the log2(M) on a color scale from green indicating lower expression to red indi...
<p>Heatmap showing unsupervised clustering of expression Z-scores of 256 unique genes from the list ...
<p>(A) The adjusted strength matrix was used for clustering, with the gene expression matrix appende...
<p>Hierarchical clustering is a simple and commonly used clustering technique to analyze gene expres...