<p>A total of 23,671 probes were examined in human blood cells. The PCA of the data set revealed that the first principal component (x-axis) explained 57.71% of the differentially expressed genes, the second principal component (y-axis) explained 26.15%, and the third principal component (z-axis) explained 16.14%. Each dot corresponds to an individual PCA score and is colored according to the state (a) and sex (b).</p
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>, a) Principal-component analysis (PCA) of the transcriptome of three different cells. The differ...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>PCA scores plot obtained from analysis of gene expression profiles. Proportion of the variance ex...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
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...
Blood expression data from the 30 transcripts identified as differentially expressed across the Resp...
<p>A) PCA was performed for gene subsets with >1.5-fold change in expression from day 21 to day 56. ...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>In each axis, “0" represents the average level of each principle component.</p
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>, a) Principal-component analysis (PCA) of the transcriptome of three different cells. The differ...
The x, y, and z axes are the first, second, and third components that together capture most of the v...
<p>PCA was performed using pair-wise sample covariance matrix of 187 samples and applied to the geno...
<p>PCA scores plot obtained from analysis of gene expression profiles. Proportion of the variance ex...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
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...
Blood expression data from the 30 transcripts identified as differentially expressed across the Resp...
<p>A) PCA was performed for gene subsets with >1.5-fold change in expression from day 21 to day 56. ...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>In each axis, “0" represents the average level of each principle component.</p
<p>Normalized signal intensity values of all the probes called “present” in at least 2/3 (12) arrays...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>, a) Principal-component analysis (PCA) of the transcriptome of three different cells. The differ...