<p>Log2-transformed values of the fold-differences in relative mRNA levels (shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128976#pone.0128976.s004" target="_blank">S4 Fig</a>) were fitted into the PCA model and a plot of principal components PC1 and PC2 is presented. The ellipsoids in lower part of Fig 5 delimit the areas of clustering of three biological replications of each treatment. The eigenvectors in the upper part of Fig 5 represent individual mRNAs.</p
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Prior to principal component analysis, genes were filtered by calculating the coefficient of dete...
<p>Log2-transformed values of the fold-differences in relative mRNA levels (shown in <a href="http:/...
<p>An evolving gene expression profile was indicated after <i>B. pertussis</i> infection of naive mi...
A series of microarray experiments produces observations of differential expression for thousands of...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
Circles represent young (7-weeks-old) plants while older (13-weeks-old) plants are represented by tr...
<p>The PCA of genes differentially expressed between active and regressed phase. Upper panel shows P...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
Principal component analysis (PCA) plot. The Y-axis represent the biggest variability in our samples...
<p>The clustering represents the overall expression pattern of significantly regulated mRNAs at FDR ...
<p>First factorial map for the principal component analysis (PCA) of gene expression levels. Tissues...
<p>(A) Total number of differentially expressed (DE) genes in the contrasts. The numbers of up-regul...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Prior to principal component analysis, genes were filtered by calculating the coefficient of dete...
<p>Log2-transformed values of the fold-differences in relative mRNA levels (shown in <a href="http:/...
<p>An evolving gene expression profile was indicated after <i>B. pertussis</i> infection of naive mi...
A series of microarray experiments produces observations of differential expression for thousands of...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
Circles represent young (7-weeks-old) plants while older (13-weeks-old) plants are represented by tr...
<p>The PCA of genes differentially expressed between active and regressed phase. Upper panel shows P...
<p>The color codes for each time point are shown on the top right corner. The three axes PC1, PC2, a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
Principal component analysis (PCA) plot. The Y-axis represent the biggest variability in our samples...
<p>The clustering represents the overall expression pattern of significantly regulated mRNAs at FDR ...
<p>First factorial map for the principal component analysis (PCA) of gene expression levels. Tissues...
<p>(A) Total number of differentially expressed (DE) genes in the contrasts. The numbers of up-regul...
<p>(a) The Principal component analysis (PCA) energy ranking, in which the top five Principal compon...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>Prior to principal component analysis, genes were filtered by calculating the coefficient of dete...