Table of contents

Canvasxpress Themes and Color Schemec (Click me)

How to cite tables and figures (Click me)

How to define and use titles and clicables (Click me)

How to embed images (Click me)

How to create tables (Click me)

Mermaid flowcharts (Click me(NOT WORKING YET))

CanvasXpress plots (Click me)

How to create networks (Click me)

Debugging section

These plots (sigma network and mermaid plots) are still not properly shown inside foldable containers, so we will leave it here for reference until fixed

Mermaid Flowchart:

${plotter.mermaid_chart(basic_flowchart)}


        ---
        title: Hello Title
        config:
         theme: base
         themeVariables:
           primaryColor: "#00ff00"
       ---
       graph LR;
         A --- B ;
         A --- E(5) ;
         B-->C[fa:fa-ban forbidden];
         B-->D(fa:fa-spinner);
         click A callback "Texto para el tooltip"
         click B href "#CanvasXpress-ParentNode-obj_3_"
        

Mermaid Timeline:

${plotter.mermaid_chart(mermaid_timeline)}


        ---
        title: Hello Title
        config:
            theme: base
            themeVariables:
            primaryColor: "#00ff00"
        ---
        timeline
        title Workflow
          section Cluster Steps
            get reliable pairs : Net Metrics
            get clusters : Cluster Metrics
                         : CDLib Metrics
            clean clusters : Cluster Metrics
                           : CDLib Metrics
            prepare and randomize clusters : Nothing                    
            cluster ranking : CRank Metrics
          section Disease Steps
            disease prediction : Disease Metrics
          section Ranker Steps
            gene ranking metrics : First Ranker Metrics
                                 : First Ranker Metrics Best Genes
            geometric mean integration : Geometric integration
            gene disease ranking : Second Ranker Metrics
                                 : Second Ranker Metrics Best Genes
            get control prediction: Phen2Gene Metrics
        

Sigma network:

${plotter.network(id = "network.txt", method = "pyvis", reference_nodes = ["a", "e"], group_nodes= {"g1": ["i", "j"], "g2": ["b", "c"]}) }