<p>(A) Principal component analysis of monocyte- and fibroblast-specific gene expression. (B) Heatmap diagram of monocyte- and fibroblast-specific gene expression. (C–E) The enrichment plot in the monocytic gene set of KDOE, OE-only, and KD-only. (F–H) Gene set enrichment analysis in the fibroblastic gene set of KDOE, KD-only, and OE-only.</p
<p><b>A)</b> Principle component analysis (PCA) plot. For a global view on the sample relationships ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p><i>A</i>, Hundred top genes significantly and differentially expressed in the two cell population...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>(<b>A)</b> Diagram of experimental design for comparison of transcriptomes of monolayer and 3D-MB...
<p>Human monocytes were single-cell sorted according to the expression of the cell surface markers C...
<p>(A) Red is the microarray profile in SMFs with CCCM stimulation, blue is SMFs without CCCM stimul...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>PCA analysis was performed on all samples and all probes to characterize the variability present ...
<p>Subgroups of cells were identified based on the PCA of single-cell PCR gene expression analysis d...
SUMMARY. This article describes three multivariate projection methods and compares them for their ab...
<p>A) A flow diagram for analysis of gene expression data from microarray experiment. Pairwise compa...
This article describes three multivariate projection methods and compares them for their ability to ...
<p>Probe fluorescence as measured by microarray gene expression analysis is depicted on the x-axis i...
A central issue in the design of microarray-based analysis of global gene expression is the choice b...
<p><b>A)</b> Principle component analysis (PCA) plot. For a global view on the sample relationships ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p><i>A</i>, Hundred top genes significantly and differentially expressed in the two cell population...
<p>Gene selection based on principal component analysis. A) variance explained by components 1–6 fro...
<p>(<b>A)</b> Diagram of experimental design for comparison of transcriptomes of monolayer and 3D-MB...
<p>Human monocytes were single-cell sorted according to the expression of the cell surface markers C...
<p>(A) Red is the microarray profile in SMFs with CCCM stimulation, blue is SMFs without CCCM stimul...
<p>Principal Component Analysis (PCA) scatter plot using Partek analysis is shown in the upper left ...
<p>PCA analysis was performed on all samples and all probes to characterize the variability present ...
<p>Subgroups of cells were identified based on the PCA of single-cell PCR gene expression analysis d...
SUMMARY. This article describes three multivariate projection methods and compares them for their ab...
<p>A) A flow diagram for analysis of gene expression data from microarray experiment. Pairwise compa...
This article describes three multivariate projection methods and compares them for their ability to ...
<p>Probe fluorescence as measured by microarray gene expression analysis is depicted on the x-axis i...
A central issue in the design of microarray-based analysis of global gene expression is the choice b...
<p><b>A)</b> Principle component analysis (PCA) plot. For a global view on the sample relationships ...
<p>A) The array data were normalized and a hierarchical clustering was run. On top of the heatmap, t...
<p><i>A</i>, Hundred top genes significantly and differentially expressed in the two cell population...