<div><p>(A) An unsupervised hierarchical clustering representation of the weighted difference in gene expression at each time point versus baseline. For each gene, the obtained differences were log normalized and multiplied by the <i>F</i>-statistic from an ANOVA (time effect) run previously (shown in [B]). The “heat” colored bar represents the absolute value of this difference. With the exception of <i>IFNAR1</i> (arrow), all genes showing a significantly different expression in at least one time point with respect to baseline were arranged in the same cluster (framed in blue).</p> <p>(B) List of all genes showing a significant time effect along with their <i>F</i>-statistic and <i>p</i>-values. Genes that were part of any triple...
<p>The trees correspond to hierarchical clustering of conditions (columns) and genes (rows). The con...
<p>(A) ANOVAs were performed across each time point for individual genes from both ECM and growth fa...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
<div><p>(A) An unsupervised hierarchical clustering representation of the weighted difference betwee...
<p>(A) Hierarchical clustering analysis. The color bar denotes protein expression change in log2 rat...
<p>A: the effect estimates of Model 3 were subjected to a hierarchical cluster analysis. Genes are d...
<p>Individual gene expression profiles are plotted horizontally against vertical columns of each die...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>The figure shows hierarchical clustering of the top 5 up-regulated DEGs on each day for each meta...
(A) Hierarchical clustering of genes based on temporal gene expression patterns only. (B) Violin plo...
<p>A heat map for the 3 different treatments across the 4 time points. Log<sub>2</sub> fold change c...
<p>Significant genes (<i>P</i>-value <0.01) from differential expression analysis (ANOVA) were selec...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>The trees correspond to hierarchical clustering of conditions (columns) and genes (rows). The con...
<p>(A) ANOVAs were performed across each time point for individual genes from both ECM and growth fa...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...
<div><p>(A) An unsupervised hierarchical clustering representation of the weighted difference betwee...
<p>(A) Hierarchical clustering analysis. The color bar denotes protein expression change in log2 rat...
<p>A: the effect estimates of Model 3 were subjected to a hierarchical cluster analysis. Genes are d...
<p>Individual gene expression profiles are plotted horizontally against vertical columns of each die...
Summarization: Statistical evaluation of temporal gene expression profiles plays an important role i...
<p>The figure shows hierarchical clustering of the top 5 up-regulated DEGs on each day for each meta...
(A) Hierarchical clustering of genes based on temporal gene expression patterns only. (B) Violin plo...
<p>A heat map for the 3 different treatments across the 4 time points. Log<sub>2</sub> fold change c...
<p>Significant genes (<i>P</i>-value <0.01) from differential expression analysis (ANOVA) were selec...
<p>Single factor hierarchical clustering of expression profiles; red indicates increased expression,...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>Genes with a significant change in expression level between the WT and the SPL20 strain during th...
<p>The trees correspond to hierarchical clustering of conditions (columns) and genes (rows). The con...
<p>(A) ANOVAs were performed across each time point for individual genes from both ECM and growth fa...
<p>(A) The hierarchical cluster produced by merging data from both the ECM and growth factor arrays ...