<p>A) Headmap of probe sets corresponding to genes significantly modulated (P<0.05) in each group. Increased signal intensities are displayed in red, whereas lower signal intensities are shown in blue. Cluster distances were evaluated by Spearman correlation on average linkage (Partek Genomics Suite). B) PCA scatter plot of all samples was generated to assess the variability of micro-array data. Each sphere represents a whole chip data. As shown in the legend, samples are colored by treatment and grouped by an ellipsoid that considers two standard deviations from the center of each group. C) Venn diagram of the respective gene lists showing the overlap of action between hCG/MM, MM/IL1B and hCG/IL1B. Data were obtained with ESC cultures issu...
(A) Scatter plots showing principal component 1 (PC1) vs. PC2 derived from 14,918 single-copy orthol...
<p>(A) Hierarchical clustering (performed using ArrayAssist) shows subsets of RAW264.7 macrophage ge...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<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>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
<p>Each point represents a chip (sample) and corresponds to a row on the top-level spreadsheet. The ...
The x-label represents the variance contribution rate of principal component 1, and the y-label repr...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>(a) Hierarchical clustering analysis plot. The height represents the Euclidean distance; (b) Prin...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
(A) Scatter plots showing principal component 1 (PC1) vs. PC2 derived from 14,918 single-copy orthol...
<p>(A) Hierarchical clustering (performed using ArrayAssist) shows subsets of RAW264.7 macrophage ge...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<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>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>Clustering was performed to visualize the correlations between the replicates and varying sample ...
<p>Each point represents a chip (sample) and corresponds to a row on the top-level spreadsheet. The ...
The x-label represents the variance contribution rate of principal component 1, and the y-label repr...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>(a) Hierarchical clustering analysis plot. The height represents the Euclidean distance; (b) Prin...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
(A) Scatter plots showing principal component 1 (PC1) vs. PC2 derived from 14,918 single-copy orthol...
<p>(A) Hierarchical clustering (performed using ArrayAssist) shows subsets of RAW264.7 macrophage ge...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...