pca loading plots Search Results


graphical illustrations of pca variable loading plots generated in  (RStudio)
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RStudio graphical illustrations of pca variable loading plots generated in
Unstimulated and IFN-γ–stimulated BM-MSC SL profile. (A) Schematic illustrating IDO converting tryptophan to kynurenine (kyn), an immunosuppressive metabolite. (B) SL concentrations of unstimulated and IFN-γ–primed MSCs. (C) <t>PCA</t> of high and low IDO unstimulated (Unstim) MSC groups. (D) <t>PCA</t> <t>variable</t> plot of MSC groups. (E) PCA of high and low IDO IFN-γ–primed groups. (F) PCA variable plot of IFN-γ groups. (G) LDA of high and low MSCs from Unstim and IFN-γ groups. *Statistical significance (P < .05). Mann–Whitney U test was used to determine significance. All groups were measured in triplicates (n = 3).
Graphical Illustrations Of Pca Variable Loading Plots Generated In, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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graphical illustrations of pca variable loading plots generated in - by Bioz Stars, 2026-06
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pca loading plots  (GraphPad Software Inc)
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GraphPad Software Inc pca loading plots
(A) Experimental design of Fluidigm-based molecular analysis of SLAM cells fractionated by EPCR and CD34 expression from mice treated ± IL-1 for 20d. (B) Heatmap and hierarchical clustering analysis, and (C) principal component analysis <t>(PCA;</t> left) and <t>PCA</t> <t>loading</t> plot (right) of Fluidigm gene expression data (N = 7–8 per group). (D) Expression of HSC-associated genes in SLAM cells fractionated by EPCR and CD34 expression, from mice treated ± IL-1 for 20d. (E) Expression of HSC-associated genes in total SLAM cells and EPCR+/CD34− SLAM cells from mice treated ± IL-1 for 20d. Data in (D-E) are expressed as log10 fold expression vs. -IL-1 EPCR+/CD34− SLAM cells. ○ p < 0.05, ○○ p < 0.01, ○○○ p < 0.001 vs. -IL-1 EPCR+/CD34− SLAM cells; * p < 0.05, ** p < 0.01, *** p < 0.001 vs. -IL-1 condition within each fraction, as determined by two-way ANOVA. Data are representative of two independent experiments.
Pca Loading Plots, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
pca loading plots - by Bioz Stars, 2026-06
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Image Search Results


Unstimulated and IFN-γ–stimulated BM-MSC SL profile. (A) Schematic illustrating IDO converting tryptophan to kynurenine (kyn), an immunosuppressive metabolite. (B) SL concentrations of unstimulated and IFN-γ–primed MSCs. (C) PCA of high and low IDO unstimulated (Unstim) MSC groups. (D) PCA variable plot of MSC groups. (E) PCA of high and low IDO IFN-γ–primed groups. (F) PCA variable plot of IFN-γ groups. (G) LDA of high and low MSCs from Unstim and IFN-γ groups. *Statistical significance (P < .05). Mann–Whitney U test was used to determine significance. All groups were measured in triplicates (n = 3).

Journal: Cytotherapy

Article Title: Characterizing human mesenchymal stromal cells’ immune-modulatory potency using targeted lipidomic profiling of sphingolipids

doi: 10.1016/j.jcyt.2021.12.009

Figure Lengend Snippet: Unstimulated and IFN-γ–stimulated BM-MSC SL profile. (A) Schematic illustrating IDO converting tryptophan to kynurenine (kyn), an immunosuppressive metabolite. (B) SL concentrations of unstimulated and IFN-γ–primed MSCs. (C) PCA of high and low IDO unstimulated (Unstim) MSC groups. (D) PCA variable plot of MSC groups. (E) PCA of high and low IDO IFN-γ–primed groups. (F) PCA variable plot of IFN-γ groups. (G) LDA of high and low MSCs from Unstim and IFN-γ groups. *Statistical significance (P < .05). Mann–Whitney U test was used to determine significance. All groups were measured in triplicates (n = 3).

Article Snippet: Graphical illustrations of PCA variable loading plots were generated in RStudio.

Techniques: MANN-WHITNEY

(A) Experimental design of Fluidigm-based molecular analysis of SLAM cells fractionated by EPCR and CD34 expression from mice treated ± IL-1 for 20d. (B) Heatmap and hierarchical clustering analysis, and (C) principal component analysis (PCA; left) and PCA loading plot (right) of Fluidigm gene expression data (N = 7–8 per group). (D) Expression of HSC-associated genes in SLAM cells fractionated by EPCR and CD34 expression, from mice treated ± IL-1 for 20d. (E) Expression of HSC-associated genes in total SLAM cells and EPCR+/CD34− SLAM cells from mice treated ± IL-1 for 20d. Data in (D-E) are expressed as log10 fold expression vs. -IL-1 EPCR+/CD34− SLAM cells. ○ p < 0.05, ○○ p < 0.01, ○○○ p < 0.001 vs. -IL-1 EPCR+/CD34− SLAM cells; * p < 0.05, ** p < 0.01, *** p < 0.001 vs. -IL-1 condition within each fraction, as determined by two-way ANOVA. Data are representative of two independent experiments.

Journal: Experimental hematology

Article Title: CD34 and EPCR coordinately enrich functional murine hematopoietic stem cells under normal and inflammatory conditions

doi: 10.1016/j.exphem.2019.12.003

Figure Lengend Snippet: (A) Experimental design of Fluidigm-based molecular analysis of SLAM cells fractionated by EPCR and CD34 expression from mice treated ± IL-1 for 20d. (B) Heatmap and hierarchical clustering analysis, and (C) principal component analysis (PCA; left) and PCA loading plot (right) of Fluidigm gene expression data (N = 7–8 per group). (D) Expression of HSC-associated genes in SLAM cells fractionated by EPCR and CD34 expression, from mice treated ± IL-1 for 20d. (E) Expression of HSC-associated genes in total SLAM cells and EPCR+/CD34− SLAM cells from mice treated ± IL-1 for 20d. Data in (D-E) are expressed as log10 fold expression vs. -IL-1 EPCR+/CD34− SLAM cells. ○ p < 0.05, ○○ p < 0.01, ○○○ p < 0.001 vs. -IL-1 EPCR+/CD34− SLAM cells; * p < 0.05, ** p < 0.01, *** p < 0.001 vs. -IL-1 condition within each fraction, as determined by two-way ANOVA. Data are representative of two independent experiments.

Article Snippet: PCA and PCA loading plots were generated using Prism 8 (Graphpad) from data generated by ClustVis.

Techniques: Expressing, Gene Expression