<p>(<b>a</b>) Results of principal component analysis (PCA) for the subset of 1238 genes up- or downregulated in at least one comparison between MMTV-PyMT and BC-PyMT, HBCx-5, -24 or -34. The 15 samples, triplicates of MMTV-PyMT (green), BC-PyMT (orange), HBCx-5 (red), HBCx-24 (yellow) and HBCx-34 (blue), were projected oton the first three principal components, which accounted for ~58% of the total variability. Hierarchical clustering of the genes from the (<b>b</b>) “Immune system process” or (<b>c</b>) “Metabolic process” pathways from Gene Ontology analysis identified as significantly up- or downregulated in at least one comparison between BC-PyMT and HBCx-5, -24 and -34.</p
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...
Heterogeneity of tumor tissues and PD3D sibling cultures was evaluated on DNA and mRNA levels. (A) O...
<p>(A) Principal component anlaysis (PCA) of the 12 genes significantly regulated by PBA, irrespecti...
<p>(<b>A</b>) Principal components analysis (PCA) for the breast (green) and kidney (blue) different...
<p><b>(A)</b> Principal Component Analysis (PCA) of the whole transcriptomes of BC, TPC, BPC and BMP...
<p>, a) Principal-component analysis (PCA) of the transcriptome of three different cells. The differ...
<p><b>(A)</b> Hierarchal clustering (HC) of mMSCs for a set of genes related to MSC multipotency. Ge...
<p>Statistical significance (p<0.01) was determined among <i>JAK2V617F</i> positive ET (yellow), PV ...
(A) PCA plot of all genes interrogated by RNA-Seq. Red and blue data points represent M1 and M2 macr...
A) the normalized KSHV transcript levels from the 34 KS tumors analyzed in Fig 11 were analyzed by p...
A) The median expression levels of the most highly expressed KSHV genes were compared, with each dot...
<p><b>A)</b> Principle component analysis (PCA) plot. For a global view on the sample relationships ...
<p>(<b>A</b>)The unsupervised principal component analysis (PCA) separated samples according to thei...
<p>Regional samples of each cancer were closely grouped over 2-D space based on principal component ...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...
Heterogeneity of tumor tissues and PD3D sibling cultures was evaluated on DNA and mRNA levels. (A) O...
<p>(A) Principal component anlaysis (PCA) of the 12 genes significantly regulated by PBA, irrespecti...
<p>(<b>A</b>) Principal components analysis (PCA) for the breast (green) and kidney (blue) different...
<p><b>(A)</b> Principal Component Analysis (PCA) of the whole transcriptomes of BC, TPC, BPC and BMP...
<p>, a) Principal-component analysis (PCA) of the transcriptome of three different cells. The differ...
<p><b>(A)</b> Hierarchal clustering (HC) of mMSCs for a set of genes related to MSC multipotency. Ge...
<p>Statistical significance (p<0.01) was determined among <i>JAK2V617F</i> positive ET (yellow), PV ...
(A) PCA plot of all genes interrogated by RNA-Seq. Red and blue data points represent M1 and M2 macr...
A) the normalized KSHV transcript levels from the 34 KS tumors analyzed in Fig 11 were analyzed by p...
A) The median expression levels of the most highly expressed KSHV genes were compared, with each dot...
<p><b>A)</b> Principle component analysis (PCA) plot. For a global view on the sample relationships ...
<p>(<b>A</b>)The unsupervised principal component analysis (PCA) separated samples according to thei...
<p>Regional samples of each cancer were closely grouped over 2-D space based on principal component ...
<p>(A) Two-dimensional PCA map of cell types, comparing PC1 and PC3. (B) Three-dimensional map compa...
<p>Unsupervised hierarchical cluster analysis of 43 CCs and 12 healthy cervical epitheliums using th...
Heterogeneity of tumor tissues and PD3D sibling cultures was evaluated on DNA and mRNA levels. (A) O...