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scatterplot matrix  (Plotly Technologies Inc)

 
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    Plotly Technologies Inc scatterplot matrix
    Scatterplot Matrix, supplied by Plotly Technologies Inc, 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/scatterplot+matrix/scatterplot+matrix/pmc07347224__pcbi__1007912__s002-0-12-109
    Average 90 stars, based on 1 article reviews
    scatterplot matrix - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: bigPint: A Bioconductor visualization package that makes big data pint-sized
    Article Snippet: Data: Data frame input by user Result: Interactive scatterplot matrix /* Declare Shiny server server ← function(input, output, session){ /* Declare Shiny output scatterplot matrix output$scatMatPlot ← renderPlotly({ /* Draw hexagons and x=y line in bottom-left corner of matrix my fn ← function(data, mapping){} /* Create static scatterplot matrix p ← ggpairs(data, lower = list(continuous = my fn)) /* Convert ggplot2::ggplot() object to plotly object ggP ← ggplotly(p) /* Tailor plotly scatterplot matrix interactivity with JavaScript ggPR ← ggP %>% onRender(“function(el, x, data){ /* If the user clicks on the plotly scatterplot matrix object el.on(‘plotly click’, function(e){ /* Delete any old superimposed plotly geoms (orange dots) if (x.data.length > 0){Plotly.deleteTraces(el.id)} /* Determine gene IDs selected by user click.



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    Image Search Results


    Paired scatterplot matrix for the covariates in the ETOPFACAR dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Paired scatterplot matrix for the covariates in the ETOPFACAR dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques:

    Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques:

    Effect of dichotomized cannabis legal status on PC1 for ETOPFA-corrected and cancer data. ( A ) Scatterplot over time for PC1 for ETOPFA-corrected anomalies for legal status dichotomized as legal cannabis states v not legal cannabis states. ( B ) Scatterplot over time for PC1 for cancer incidence dichotomized by legal status as illegal states v. liberal states. ( C ) Boxplot for PC1 for ETOPFA-adjusted congenital anomalies time-aggregated data by legal status dichotomized as in ( A ). ( D ) Boxplot for PC1 for selected cancer incidence of dichotomized legal status over aggregated time dichotomized as in ( B ). (Created in R-Studio version 1.3.1093 using ggplot2 version 3.3.2).

    Journal: Scientific Reports

    Article Title: Epidemiological overview of multidimensional chromosomal and genome toxicity of cannabis exposure in congenital anomalies and cancer development

    doi: 10.1038/s41598-021-93411-5

    Figure Lengend Snippet: Effect of dichotomized cannabis legal status on PC1 for ETOPFA-corrected and cancer data. ( A ) Scatterplot over time for PC1 for ETOPFA-corrected anomalies for legal status dichotomized as legal cannabis states v not legal cannabis states. ( B ) Scatterplot over time for PC1 for cancer incidence dichotomized by legal status as illegal states v. liberal states. ( C ) Boxplot for PC1 for ETOPFA-adjusted congenital anomalies time-aggregated data by legal status dichotomized as in ( A ). ( D ) Boxplot for PC1 for selected cancer incidence of dichotomized legal status over aggregated time dichotomized as in ( B ). (Created in R-Studio version 1.3.1093 using ggplot2 version 3.3.2).

    Article Snippet: Figure 5 Paired scatterplot matrix for the covariates in the cancer dataset. (Created in R-Studio version 1.3.1093 using ggpairs function from the GGally package version 2.0.0).

    Techniques: Cannabis