<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays were subjected to PCA using ArrayTrack. The x-, y- and z-axes represent PC1, PC2 and PC3, respectively. The colors and shapes of data points indicate temperature treatment and time of exposure: blue for cold (16°C), red for heat (34°C) and green for control (28°C), sphere for 2 h and square for 48 h after exposure. One of two overlapped heat-treated samples at 48 h is shown as yellow and sphere. The sample names were displayed within the figure.</p
<p>The plot displays the result of a PCA on the pairwise normalized RNA-Seq expression values of all...
<p>Microarray hybridizations were performed using total RNA from HUVEC exposed to 1 nmol/L estradiol...
A series of microarray experiments produces observations of differential expression for thousands of...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principle component analysis of gene expression profiles of different treatments and populations ...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>Prior to principal component analysis, genes were filtered by calculating the coefficient of dete...
<p>(alternate viewing angle and axis values available in <a href="http://www.plosone.org/article/inf...
The x-label represents the variance contribution rate of principal component 1, and the y-label repr...
<p>A total of 23,671 probes were examined in human blood cells. The PCA of the data set revealed tha...
<p>Each point represents a chip (sample) and corresponds to a row on the top-level spreadsheet. The ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>The plot displays the result of a PCA on the pairwise normalized RNA-Seq expression values of all...
<p>Microarray hybridizations were performed using total RNA from HUVEC exposed to 1 nmol/L estradiol...
A series of microarray experiments produces observations of differential expression for thousands of...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>Principle component analysis of gene expression profiles of different treatments and populations ...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>Prior to principal component analysis, genes were filtered by calculating the coefficient of dete...
<p>(alternate viewing angle and axis values available in <a href="http://www.plosone.org/article/inf...
The x-label represents the variance contribution rate of principal component 1, and the y-label repr...
<p>A total of 23,671 probes were examined in human blood cells. The PCA of the data set revealed tha...
<p>Each point represents a chip (sample) and corresponds to a row on the top-level spreadsheet. The ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
PCA plot shows the cytokine ELISA data from the combination of two different experimental groups TBL...
<p>The plot displays the result of a PCA on the pairwise normalized RNA-Seq expression values of all...
<p>Microarray hybridizations were performed using total RNA from HUVEC exposed to 1 nmol/L estradiol...
A series of microarray experiments produces observations of differential expression for thousands of...