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pca expression plot feature  (RStudio)

 
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    Structured Review

    RStudio pca expression plot feature
    Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) <t>PCA</t> was performed using the PCA expression plot feature <t>in</t> <t>RStudio,</t> data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.
    Pca Expression Plot Feature, 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
    https://www.bioz.com/result/pca expression plot feature/product/RStudio
    Average 90 stars, based on 1 article reviews
    pca expression plot feature - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis"

    Article Title: A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis

    Journal: Scientific Reports

    doi: 10.1038/s41598-025-00928-0

    Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.
    Figure Legend Snippet: Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.

    Techniques Used: Control, Expressing



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    Image Search Results


    Effect of photoperiod on serum bile acid profile in Taihe silky fowls. (A) PCA plot; (B) Bile acid clustering heatmap; (C) Bar chart of differentially abundant bile acids fold changes; (D) KEGG enrichment plot of differentially abundant bile acids. Data are presented as means ± SEM ( n = 6).

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    Article Title: Molecular mechanisms of photoperiod regulation of bile acid metabolism in Taihe silky fowls based on the gut-liver axis

    doi: 10.1016/j.psj.2025.105489

    Figure Lengend Snippet: Effect of photoperiod on serum bile acid profile in Taihe silky fowls. (A) PCA plot; (B) Bile acid clustering heatmap; (C) Bar chart of differentially abundant bile acids fold changes; (D) KEGG enrichment plot of differentially abundant bile acids. Data are presented as means ± SEM ( n = 6).

    Article Snippet: Effect of photoperiod on serum bile acid profile in Taihe silky fowls. (A) PCA plot; (B) Bile acid clustering heatmap; (C) Bar chart of differentially abundant bile acids fold changes; (D) KEGG enrichment plot of differentially abundant bile acids.

    Techniques:

    Effects of photoperiod on liver gene expression in Taihe silky fowls. (A) PCA plot; (B) Bar chart of differentially expressed genes; (C) Volcano plot of differentially expressed genes; (D) GO enrichment analysis bubble plot of differentially expressed genes; (E) KEGG enrichment analysis bubble plot of differentially expressed genes. Data are presented as means ± SEM ( n = 3).

    Journal: Poultry Science

    Article Title: Molecular mechanisms of photoperiod regulation of bile acid metabolism in Taihe silky fowls based on the gut-liver axis

    doi: 10.1016/j.psj.2025.105489

    Figure Lengend Snippet: Effects of photoperiod on liver gene expression in Taihe silky fowls. (A) PCA plot; (B) Bar chart of differentially expressed genes; (C) Volcano plot of differentially expressed genes; (D) GO enrichment analysis bubble plot of differentially expressed genes; (E) KEGG enrichment analysis bubble plot of differentially expressed genes. Data are presented as means ± SEM ( n = 3).

    Article Snippet: Effect of photoperiod on serum bile acid profile in Taihe silky fowls. (A) PCA plot; (B) Bile acid clustering heatmap; (C) Bar chart of differentially abundant bile acids fold changes; (D) KEGG enrichment plot of differentially abundant bile acids.

    Techniques: Gene Expression

    Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.

    Journal: Scientific Reports

    Article Title: A bioinformatics-driven approach to identify biomarkers and elucidate the pathogenesis of type 2 diabetes concurrent with pulmonary tuberculosis

    doi: 10.1038/s41598-025-00928-0

    Figure Lengend Snippet: Comparative bioinformatic analyses of immune cell enrichment in the PTB + T2DM and HC groups. ( A - B ) Enrichment scores of 22 distinct immune cell types in the two groups (PTB with T2DM vs. Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages. The values on the x-axis represent the relative enrichment level of M2 macrophages, and the values on the y-axis represent the expression levels of C1QA and LINC00278.

    Article Snippet: Healthy control and PTB with T2DM vs. T2DM group). ( C ) Correlation analysis between six key genes in PTB + T2DM and various immune cell types. ( D ) PCA was performed using the PCA expression plot feature in RStudio, data dimensionality of the data set was reduced, allowing the creation of a two-dimensional scatter plot for an initial sample distribution assessment. ( E ) Spearman’s correlation analysis of C1QA and LINC00278 expression with M2 macrophages.

    Techniques: Control, Expressing