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scatter plot of mx1 and mx2 gene expression levels  (RStudio)

 
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    Structured Review

    RStudio scatter plot of mx1 and mx2 gene expression levels
    Gene expression analysis based on SARS-CoV-2 positivity and age Dot plot for <t>MX1</t> expression (i) and statistical output from RStudio (ii) for: (A) SARS-CoV-2 positive vs . negative patients (P-values correspond to Wilcoxon rank-sum test); (B) SARS-CoV-2 positive vs . negative patients categorized by age groups (P-values correspond to decreasing Jonckheere-Terpstra trend test. Alternative hypothesis: Median i > Median j > … > Median n , indicating that gene expression is significantly lower in SARS-CoV-2 patients when age is increased. Left panel: SARS-CoV-2 negative; right panel: SARS-CoV-2 positive). A.i and B.i were adapted with permission from <xref ref-type=Bizzotto et al., 2020 . " width="250" height="auto" />
    Scatter Plot Of Mx1 And Mx2 Gene Expression Levels, 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/product/scatter+plot/pmc08061314-107-18-34?v=RStudio
    Average 90 stars, based on 1 article reviews
    scatter plot of mx1 and mx2 gene expression levels - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Analysis workflow of publicly available RNA-sequencing datasets"

    Article Title: Analysis workflow of publicly available RNA-sequencing datasets

    Journal: STAR Protocols

    doi: 10.1016/j.xpro.2021.100478

    Gene expression analysis based on SARS-CoV-2 positivity and age Dot plot for MX1 expression (i) and statistical output from RStudio (ii) for: (A) SARS-CoV-2 positive vs . negative patients (P-values correspond to Wilcoxon rank-sum test); (B) SARS-CoV-2 positive vs . negative patients categorized by age groups (P-values correspond to decreasing Jonckheere-Terpstra trend test. Alternative hypothesis: Median i > Median j > … > Median n , indicating that gene expression is significantly lower in SARS-CoV-2 patients when age is increased. Left panel: SARS-CoV-2 negative; right panel: SARS-CoV-2 positive). A.i and B.i were adapted with permission from <xref ref-type=Bizzotto et al., 2020 . " title="... on SARS-CoV-2 positivity and age Dot plot for MX1 expression (i) and statistical output from RStudio (ii) ..." property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: Gene expression analysis based on SARS-CoV-2 positivity and age Dot plot for MX1 expression (i) and statistical output from RStudio (ii) for: (A) SARS-CoV-2 positive vs . negative patients (P-values correspond to Wilcoxon rank-sum test); (B) SARS-CoV-2 positive vs . negative patients categorized by age groups (P-values correspond to decreasing Jonckheere-Terpstra trend test. Alternative hypothesis: Median i > Median j > … > Median n , indicating that gene expression is significantly lower in SARS-CoV-2 patients when age is increased. Left panel: SARS-CoV-2 negative; right panel: SARS-CoV-2 positive). A.i and B.i were adapted with permission from Bizzotto et al., 2020 .

    Techniques Used: Gene Expression, Expressing

    Correlation analysis (A) Pairwise Spearman correlation matrix analysis between all genes of interest ( MX1 , MX2 , ACE2 and TMPRSS2 ), considering different infection status (all patients together (Corr.), SARS-CoV-2 negative (HEALTHY), or SARS-CoV-2 positive patients (COVID19)). Alternative hypothesis: rho (ρ) ≠ 0, which indicates that there is a lineal correlation between the variables under study. Statistical significance: ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001. (B) Scatter plot of MX1 and MX2 gene expression levels, color-coded by viral load (i) and Spearman correlation output in RStudio (ii). A and 3B.i were adapted with permission from <xref ref-type=Bizzotto et al., 2020 . " title="... matrix analysis between all genes of interest ( MX1 , MX2 , ACE2 and TMPRSS2 ), considering ..." property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: Correlation analysis (A) Pairwise Spearman correlation matrix analysis between all genes of interest ( MX1 , MX2 , ACE2 and TMPRSS2 ), considering different infection status (all patients together (Corr.), SARS-CoV-2 negative (HEALTHY), or SARS-CoV-2 positive patients (COVID19)). Alternative hypothesis: rho (ρ) ≠ 0, which indicates that there is a lineal correlation between the variables under study. Statistical significance: ∗ p < 0.05; ∗∗ p < 0.01; ∗∗∗ p < 0.001. (B) Scatter plot of MX1 and MX2 gene expression levels, color-coded by viral load (i) and Spearman correlation output in RStudio (ii). A and 3B.i were adapted with permission from Bizzotto et al., 2020 .

    Techniques Used: Infection, Gene Expression

    Patient segregation based on gene expression (A) Principal component analysis (PCA) output in RStudio, showing the first two principal components explaining most part of the variance among samples. (B) PCA biplot of gene expression data showing a rough segregation of SARS-CoV-2 positive and negative samples. (C) 3D scatter plot for the expression of three genes of interest ( BSG , MX1 and ACE2 ). Samples are colored by SARS-CoV-2 status (positive or negative). Ellipsoids represent the 95% confidence interval. B and 4C were adapted with permission from <xref ref-type=Bizzotto et al., 2020 . " title="... of three genes of interest ( BSG , MX1 and ACE2 ). Samples are colored by SARS-CoV-2 ..." property="contentUrl" width="100%" height="100%"/>
    Figure Legend Snippet: Patient segregation based on gene expression (A) Principal component analysis (PCA) output in RStudio, showing the first two principal components explaining most part of the variance among samples. (B) PCA biplot of gene expression data showing a rough segregation of SARS-CoV-2 positive and negative samples. (C) 3D scatter plot for the expression of three genes of interest ( BSG , MX1 and ACE2 ). Samples are colored by SARS-CoV-2 status (positive or negative). Ellipsoids represent the 95% confidence interval. B and 4C were adapted with permission from Bizzotto et al., 2020 .

    Techniques Used: Gene Expression, Expressing



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    Image Search Results


    Moran scatter plot (Figure data source: Stata 16 generated after analysis and processing).

    Journal: Scientific Reports

    Article Title: Spatial spillover effects of technological progress on energy intensity in China from the productivity improvement perspective

    doi: 10.1038/s41598-025-17235-3

    Figure Lengend Snippet: Moran scatter plot (Figure data source: Stata 16 generated after analysis and processing).

    Article Snippet: Fig. 4 Moran scatter plot (Figure data source: Stata 16 generated after analysis and processing).

    Techniques: Generated