<p>Gene based principal component analysis (PCA) 3D plot demonstrating microarray gene expression profiling of <i>Slc6a15</i> KO mice (−/−) and WT mice (+/+) (n = 6/group) by clustering of the genotypes by 3 principal components (PC1-3 in the graph). Units in graphs are arbitrary units.</p
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
<p>Labelled data points relate to individuals classified as showing extreme immunological expression...
<p>Principal coordinate analysis (PCA) was performed based on the weighted UniFrac distance matrix g...
<p>Proteins are clustered according to their density gradient distributions. Each point on the PCA p...
<p>(Blue: control mice, Red: grid floor housed mice). <b>A.</b> Jackknifed replicate PCA plot. The p...
<p>(<b>A–B</b>) Scatter-plots of the normalized probe intensity of all annotated microarray signals ...
<p>A. Principal Component Analysis (PCA) plot shows three distinct clusters: iPSCs, NPs and E plus L...
<p>PCA biplots aim to optimally display variances and not correlations. The angles between the vario...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
Percentage variation captured in each principal component (PC). PCs are ordered from 1 to 4 accordin...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>Three mice were used in each group (WT1, WT2, and WT3 for wild-type and Tg1, Tg2, and Tg3 for PGC...
<p>All individuals on <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0076070#...
<p>Distinct clustering of cells isolated from 2D PS (dark blue), 2D PDMS (light blue), 3D PS (red) a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
<p>Labelled data points relate to individuals classified as showing extreme immunological expression...
<p>Principal coordinate analysis (PCA) was performed based on the weighted UniFrac distance matrix g...
<p>Proteins are clustered according to their density gradient distributions. Each point on the PCA p...
<p>(Blue: control mice, Red: grid floor housed mice). <b>A.</b> Jackknifed replicate PCA plot. The p...
<p>(<b>A–B</b>) Scatter-plots of the normalized probe intensity of all annotated microarray signals ...
<p>A. Principal Component Analysis (PCA) plot shows three distinct clusters: iPSCs, NPs and E plus L...
<p>PCA biplots aim to optimally display variances and not correlations. The angles between the vario...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
Percentage variation captured in each principal component (PC). PCs are ordered from 1 to 4 accordin...
<p>Panel (a) plots the proportion of variance explained by principal components 1–4. Panel (b) is a ...
<p>Three mice were used in each group (WT1, WT2, and WT3 for wild-type and Tg1, Tg2, and Tg3 for PGC...
<p>All individuals on <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0076070#...
<p>Distinct clustering of cells isolated from 2D PS (dark blue), 2D PDMS (light blue), 3D PS (red) a...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>(A) PCA score plot showing a three dimensional visualization of similarities and differences betw...
<p>Labelled data points relate to individuals classified as showing extreme immunological expression...
<p>Principal coordinate analysis (PCA) was performed based on the weighted UniFrac distance matrix g...