<p>The principal component analysis was performed on all samples, and on the top 50 microRNAs with the highest standard deviation. The normalized log ratio values have been used for the analysis. The features have been shifted to be zero centered, (i.e. the mean value across samples is shifted to 0) and scaled to have unit variance (i.e. the variance across samples is scaled to 1) before the analysis. Samples C2-C5, C7 & C13 correspond to the control group of patients, whereas sample codes beginning with S correspond to the 2 subsets of the study group, designated and colored separately as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0123522#pone.0123522.g002" target="_blank">Fig 2</a>.</p
<p><b>A</b> Pareto plot of the percentage of variance explained by each principal component when PCA...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
The data were normalized across biofluid types and TBI likelihood prior to statistical analysis. The...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<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...
<p>Principal components analysis of the 4 categories of interest show distinct clusters that corresp...
<p><b>A</b> Pareto plot of the percentage of variance explained by each principal component when PCA...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>PCA was made over normalized expression levels of expressed genes in the array (detection P-Value...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Principal Component Analysis (PCA) results on all individual samples at the level of OTUs cluster...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>(<b>A</b>) PCA analysis of the top-50 ranking (lowest P-values in t-test) miRNAs of the panel scr...
PBMC profiles obtained are shown in (A) and (B). Serum data are shown in (C) and (D). Individual plo...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
The data were normalized across biofluid types and TBI likelihood prior to statistical analysis. The...
<p>(A) The percent variability explained by each principal component (<a href="http://www.plosone.or...
<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...
<p>Principal components analysis of the 4 categories of interest show distinct clusters that corresp...
<p><b>A</b> Pareto plot of the percentage of variance explained by each principal component when PCA...
<p>(A) Principal component analysis (PCA). The 32 samples are projected onto the 2D plane such that ...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...