<p>The heatmap of pair-wise correlations among seven parameters that enumerate topological, dynamical and local clustering features of the network: betweenness, stress, degree, neighborhood connectivity (neigh_conn), clustering coefficient (clust_coeff), average shortest path length (avg_short_paths) and topological coefficient (topo_coeff). The heatmap highlights three parameters with very high mutual positive correlations (r = 0.8989, 0.9930 and 0.9210): degree, betweenness and stress. The upper triangle of the heatmap depicts pair-wise correlations as pie charts. The lower triangle depicts positive and negative correlations in shades of blue and red, respectively; the darker the color the stronger the correlation. Positive and negative c...
<p>Three main clusters according to their positive and negative correlation with the prevalence of a...
There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex dat...
Summarization: The ultimate goal of the genomic revolution, is understanding the genetic causes, the...
<p>On the left, the genes and clinical parameters are indicated, along with three subgroups of genes...
<p>Correlations or p-values are hierarchically clustered using the centroid linkage method.</p
<p>(A) Heatmap of sensitive signaling features to each intermediary response species at snapshot mea...
(A) Heat map of gene network visualization, the darker the red, the better the overlap; (B) Tree dia...
<p>The left and top color bars indicate the module membership of each protein (grey colored proteins...
<p>Heat map of the values of the parameters used in Connectivity and Centrality analysis. The names ...
The heat map depicts the Topological Overlap Matrix among genes in the analysis. Genes in modules su...
<p>This diagram shows correlations between gene expression variation profiles of various rheumatic d...
<p>The heat map shows the gene expression of samples in columns, with a dendogram representing their...
(A) The co-expression heatmaps showing R values (the lower triangle) and P-values (the upper triangl...
<p>Green and red pertains to positive and negative partial correlations respectively.</p
<p>Heat map clustering 1981 breast cancer tumors and the top 150 genes learned using ReliefF from th...
<p>Three main clusters according to their positive and negative correlation with the prevalence of a...
There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex dat...
Summarization: The ultimate goal of the genomic revolution, is understanding the genetic causes, the...
<p>On the left, the genes and clinical parameters are indicated, along with three subgroups of genes...
<p>Correlations or p-values are hierarchically clustered using the centroid linkage method.</p
<p>(A) Heatmap of sensitive signaling features to each intermediary response species at snapshot mea...
(A) Heat map of gene network visualization, the darker the red, the better the overlap; (B) Tree dia...
<p>The left and top color bars indicate the module membership of each protein (grey colored proteins...
<p>Heat map of the values of the parameters used in Connectivity and Centrality analysis. The names ...
The heat map depicts the Topological Overlap Matrix among genes in the analysis. Genes in modules su...
<p>This diagram shows correlations between gene expression variation profiles of various rheumatic d...
<p>The heat map shows the gene expression of samples in columns, with a dendogram representing their...
(A) The co-expression heatmaps showing R values (the lower triangle) and P-values (the upper triangl...
<p>Green and red pertains to positive and negative partial correlations respectively.</p
<p>Heat map clustering 1981 breast cancer tumors and the top 150 genes learned using ReliefF from th...
<p>Three main clusters according to their positive and negative correlation with the prevalence of a...
There is a growing need for unbiased clustering algorithms, ideally automated to analyze complex dat...
Summarization: The ultimate goal of the genomic revolution, is understanding the genetic causes, the...