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    • 🧭Configure your Knowledge Graph Schema
      • πŸ—‚οΈFormat Internal Data For Uploading
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    • πŸ—ΊοΈUse the Graph Explorer
      • βš™οΈRunning Graph Algorithms
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    • πŸ”—Use the Query Language
      • Customize the data table returned with your query
      • 🧭Explore and understand your results
      • πŸ“ŠVisualize data returned in Query Language
      • ✏️Modify Queries using the Query Editor
    • Ask questions with Natural Language (GraphRAG)
      • Use Agent Orion to generate a query with Natural Language
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  • Scatter Plot
  • Plot Customization
  • Box Plot
  • Plot Customization
  1. How To
  2. Use the Query Language

Visualize data returned in Query Language

How to visualize the data returned in a query language search in an interactive plot.

PreviousExplore and understand your resultsNextModify Queries using the Query Editor

Last updated 8 months ago

Once you have used the query language to ask a question you can select from a variety of plots to visualize your data.

Scatter Plot

Any concept or relationship that contains numerical data properties can be visualized within a scatter plot.

Select "Add Visualization" followed by scatter plot.

The plot will populate below the table displaying the response to your query.

Plot Customization

Under the"Axis" menu you can customize the data that will be displayed and axis labels

  • "X Axis Concept" refers to the concept or relationship from your query that will be displayed on the X axis e.g. upregulates, gene, tumor sample etc. Note that only concepts and relationships with numerical data properties will be available.

  • "X-Axis Property" refers to the data property that will be displayed in the plot e.g. logR value, p value, etc.

  • "X-Axis Label" refers to the title of the X-Axis.

  • "Y-Axis Concept" refers to the concept or relationship from your query that will be displayed in the plot e.g. upregulates, gene, tumor sample etc. Note that only concepts and relationships with numerical data properties will be available.

  • "Y-Axis Property" refers to the data property that will be displayed on the Y axis e.g. logR value, p value, etc.

  • "Y-Aixs label" refers to the title of the Y-Axis.

To provide additional context tool tips can be added. This allows you to display additional information when hovering over data points such as Gene Names.

By default, the query will be the title of the plot. This can be changed under the Title and Grid menu.

The horizontal and vertical sliders can be used to zoom in and out of the plot.

Box Plot

Select "Add Visualization" followed by Box plot.

The plot will populate below the table displaying the response to your query.

Plot Customization

Under the"Axis" menu you can customize the data that will be displayed and axis labels

  • "X Axis concept" refers to the concept or relationship from your query that will be displayed on the X-axis e.g gene, tumor sample, dataset etc.

  • "X-Axis Property" refers to the data property that will be displayed in the plot e.g. gene name dataset name, p value, etc.

  • "X-Axis Label" refers to the title of the X-Axis.

  • "Y-Axis concept" refers to the concept or relationship from your query that will be displayed in the plot e.g. upregulates, gene, tumor sample etc. Note that only concepts and relationships with numerical data properties will be available.

  • "Y-Axis Property" refers to the data property that will be displayed in the plot e.g. logR value, p value, etc.

  • "Y-Axis Label" refers to the title of the Y-Axis.

By default, the query will be the title of the plot. This can be changed under the Title and Grid menu.

The horizontal and vertical sliders can be used to zoom in and out of the plot.

πŸ”—
πŸ“Š
Example query " Which genes are upregulated in adenocarcinoma tumor samples?" This returned a list of 453 genes that were identified to be upregulated.
Example query "Which genes that participate in the Activation of BH3-only proteins are upregulated across differential expression datasets" This returned 28 genes identified across 4 differential expression datasets.