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plotly scatterplot matrix  (Plotly Technologies Inc)

 
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    Plotly Technologies Inc plotly scatterplot matrix
    Plotly 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/plotly+scatterplot+matrix/pmc07347224__pcbi__1007912__s002-1-197-201
    Average 90 stars, based on 1 article reviews
    plotly scatterplot matrix - by Bioz Stars, 2026-09
    90/100 stars

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    Article Title: bigPint: A Bioconductor visualization package that makes big data pint-sized
    Article Snippet: Save as object called selID with handle called ‘selID’ so it can be read outside current JavaScript function back in Shiny Shiny.onInputChange(‘selID’, selID) /* Create traces for selected gene IDs as orange points that state gene names upon hovering trace = {mode: ‘markers’, color: ‘orange’, size: 6, text: selID, hoverinfo: ‘text’} /* Superimpose traces onto the plotly scatterplot matrix object Plotly.addTraces(el.id, Traces) }) }) /* Pass the R data object into the JavaScript function ”, data = data }) /* Read into Shiny the gene IDs that user clicked on selID ← reactive(input$selID) /* Create data subset (read counts) for only the selected gene IDs pcpDat ← reactive(data[which(data$ID %>% selID()), ]) /* Create static box plot of the full dataset BP ← ggplot(data) + geom boxplot() /* Render boxplot interactive as a plotly object ggBP ← ggplotly(BP) /* Declare Shiny output boxplot output$boxPlot ← renderPlotly({ /* Tailor interactivity of the plotly boxplot object using custom JavaScript ggBP %>% onRender(“function(el, x, data){ /* Create traces for selected gene IDs as orange lines that state gene names upon hovering trace = {mode: ‘lines’, color: ‘orange’, width: 1.5, text: selID, hoverinfo: ‘text’} /* Push traces to be superimposed onto the plotly scatterplot matrix object Plotly.addTraces(el.id, Traces) /* Pass R objects into the JavaScript function }”, data = list(pcpDat = pcpDat()) }) } S1 Pseudocode: Pseudocode for interactive scatterplot matrix



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    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