<p>Note principal component 1 clearly segregates iPSC from neuronal cultures, while component 2 partitions trisomic from disomic cells.</p
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal components (PCs) 1, 2 and 3 account for 73.9, 11.6 and 7% of the variance, respectively...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>A, the plot of the principal component 1 (PC1) versus principal component 2 (PC2) was presented. ...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Red points are OVCAR-3 cells, and green points are ovarian cancer stem cells at six different tim...
The principal component analysis on all expressed genes demonstrates clustering of RR (green) and RS...
<p>A principal component analysis was performed on the 22 tissue transcriptome datasets which remain...
<p>Principal component analysis based on the 40 differentially expressed candidate genes demonstrate...
<p>Distinct clustering of cells isolated from 2D PS (dark blue), 2D PDMS (light blue), 3D PS (red) a...
Principal component analysis from gene expression of LIBD sample and replication sample (PITT); x ax...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal components (PCs) 1, 2 and 3 account for 73.9, 11.6 and 7% of the variance, respectively...
<p>PCA was performed independently for both datasets. First principal component (PC1) is shown on x-...
<p>A, the plot of the principal component 1 (PC1) versus principal component 2 (PC2) was presented. ...
<p>A principal component analysis was performed on the 12 blood transcriptome data sets which remain...
Principal component analysis (PCA) was performed using the prcomp function from the R base package. ...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>2D scatter plot shows principal component analysis (PCA) of miRNA deep sequencing data. The two a...
<p>Red points are OVCAR-3 cells, and green points are ovarian cancer stem cells at six different tim...
The principal component analysis on all expressed genes demonstrates clustering of RR (green) and RS...
<p>A principal component analysis was performed on the 22 tissue transcriptome datasets which remain...
<p>Principal component analysis based on the 40 differentially expressed candidate genes demonstrate...
<p>Distinct clustering of cells isolated from 2D PS (dark blue), 2D PDMS (light blue), 3D PS (red) a...
Principal component analysis from gene expression of LIBD sample and replication sample (PITT); x ax...
<p>PCA plot shows the first three principal components of microarray data in respect to their correl...
<p>Principal Component Analysis (PCA) of microarray data. PCA two-dimensional scatter plot represent...
<p>Principal components (PCs) 1, 2 and 3 account for 73.9, 11.6 and 7% of the variance, respectively...