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line plots and volcano plots of correlations (spearman)  (RStudio)

 
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    RStudio line plots and volcano plots of correlations (spearman)
    Line Plots And Volcano Plots Of Correlations (Spearman), 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/volcano+plot/line+plots+and+volcano+plots+of+correlations++spearman+/bio_rxiv__2025__07__11__664344-275-6-17
    Average 90 stars, based on 1 article reviews
    line plots and volcano plots of correlations (spearman) - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Generated:

    Article Title: Depletion of CD206 + M2-like macrophages induces fibro-adipogenic progenitors activation and muscle regeneration.
    Article Snippet: .. The volcano plot was generated using RStudio (n = 2mice per group). cHigh resolution confocal imaging of frozen TA sections fromTgmice andWT controlmice, stained with anti-PDGFRα and antiFst antibodies. ..

    Article Title: 122Identification of bitter peptides in aged Cheddar cheese by crossflow filtration-based Fractionation, Peptidomics, statistical screening and sensory analysis.
    Article Snippet: .. A volcano plot was generated in Rstudio to visualize the magnitude of change in each peptide’s abundance between the non-bitter and bitter samples and the p-value of this difference. ..

    Article Title: Multifaceted roles of Meg3 in cellular senescence and atherosclerosis.
    Article Snippet: .. A volcano plot was generated in RStudio to show the differentially expressed genes (fold change >1.5 and p value < 0.05). ..

    Article Title: Distinguishing the Metabolic Effect of Fetal and Adult Fibrinogen on Human Fibroblast Cell Culture by IR-MALDESI Mass Spectrometry Imaging.
    Article Snippet: Mass spectrometry imaging (MSI) of cells can elucidate metabolic changes with cellular and molecular specificity.. Fibroblasts are mesenchymal cells that are important in tissue homeostasis and wound healing.. During early wound healing, fibroblasts adhere to fibrinogen and migrate into fibrin clots, which are important interactions to stabilize early blood clots and promote subsequent tissue remodeling.

    Imaging:

    Article Title: Depletion of CD206 + M2-like macrophages induces fibro-adipogenic progenitors activation and muscle regeneration.
    Article Snippet: .. The volcano plot was generated using RStudio (n = 2mice per group). cHigh resolution confocal imaging of frozen TA sections fromTgmice andWT controlmice, stained with anti-PDGFRα and antiFst antibodies. ..

    Staining:

    Article Title: Depletion of CD206 + M2-like macrophages induces fibro-adipogenic progenitors activation and muscle regeneration.
    Article Snippet: .. The volcano plot was generated using RStudio (n = 2mice per group). cHigh resolution confocal imaging of frozen TA sections fromTgmice andWT controlmice, stained with anti-PDGFRα and antiFst antibodies. ..



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    a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) <t>heatmap</t> of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.
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    a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) <t>heatmap</t> of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.
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    Image Search Results


    a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) heatmap of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.

    Journal: Nature Communications

    Article Title: Natural variation of an E3 ubiquitin ligase encoding gene Chalk9 regulates grain chalkiness in rice

    doi: 10.1038/s41467-025-61683-4

    Figure Lengend Snippet: a The genome-wide association signals for chalky grain rate (CGR) and degree of chalkiness (DC) in the region at 18–21 Mb on chromosome 9 ( x -axis) across two years. Negative log 10 -transformed P values from the linear mixed model are plotted on the y -axis. The horizontal dashed line indicates the genome-wide significance threshold ( P = 1×10 –6 ). P values were determined using a two-sided Wald test and assessed after Bonferroni correction for multiple comparisons. b Linkage disequilibrium (LD) heatmap of the Chalk9 locus region. Pairwise linkage disequilibrium was determined by calculating r 2 (the square of the correlation coefficient between SNPs). c Relative expression level of the 12 candidate genes in the endosperm of eight high-chalky and eight low-chalky varieties at 20 days after flowering (DAF). The 12 predicted genes in the Chalk9 locus region are labeled by I to XII. Data show means ± SD ( n = 8 varieties). P values were calculated for comparisons between high-chalky and low-chalky groups, with each group comprising 8 varieties. d Relative expression level of the candidate gene III ( Chalk9 ) in the endosperm from the selected varieties at 20 DAF. The P value was calculated for the comparison between high-chalky and low-chalky groups, with each group comprising 8 varieties. Data show means ± SD ( n = 3 biological replicates). e Relative expression level of the 12 candidate genes in the leaves of eight high-chalky and eight low-chalky varieties. Data show means ± SD ( n = 8 varieties). In c – e , statistical analysis between high-chalky and low-chalky groups was performed by two-tailed Student’s t -test. Source data are provided as a Source Data file.

    Article Snippet: Correlation analysis, heatmap plotting, and volcano plot analysis were performed using BMKCloud ( www.biocloud.net ).

    Techniques: GWAS, Transformation Assay, Genome Wide, Expressing, Labeling, Comparison, Two Tailed Test