<p>Each point represents a chip (sample) and corresponds to a row on the top-level spreadsheet. The color of the dot represents the type of the sample. Points that are close together within the plots have similar intensity values across the probe sets on the whole chip (genome), and points that are far apart within the plots are dissimilar. (<b>A</b>) PCA of the genetic background. (<b>B, C</b>) PCA of the different treatment conditions. WT = wildtype, <i>Per2<sup>−/−</sup></i> = Period 2 deficient mice, I30 = 30 minutes of ischemia without reperfusion, IP0 = ischemic preconditioning (4×5 minutes of ischemia and reperfusion), I30R60 = 30 minutes of ischemia followed by 60 minutes of reperfusion. The units on the axes represent the di...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>PCA analysis was performed on all samples and all probes to characterize the variability present ...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>(<b>A–B</b>) Scatter-plots of the normalized probe intensity of all annotated microarray signals ...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>(<b>A</b>) Different ischemia and reperfusion protocols used on one 24 multi-plate array. 1.) 30 ...
<p>A) Headmap of probe sets corresponding to genes significantly modulated (P<0.05) in each group. I...
<p>Each circle represents the cumulative gene expression profile for an individual sample. Samples w...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>(A-C): Hierarchical clustering of gene sets signatures, pluripotent markers (A), MSC markers (B) ...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>PCA analysis was performed on all samples and all probes to characterize the variability present ...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>(<b>A–B</b>) Scatter-plots of the normalized probe intensity of all annotated microarray signals ...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>(<b>A</b>) Different ischemia and reperfusion protocols used on one 24 multi-plate array. 1.) 30 ...
<p>A) Headmap of probe sets corresponding to genes significantly modulated (P<0.05) in each group. I...
<p>Each circle represents the cumulative gene expression profile for an individual sample. Samples w...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>(A-C): Hierarchical clustering of gene sets signatures, pluripotent markers (A), MSC markers (B) ...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...