🗒️Generate Reports

How to leverage you graph models to generate reports for the purposes of target prioritization, indication selection and more.

Once all of your lines of evince have been created and the graph has been updated, you can create your first report.

Use the top application tool bar and select “Foundry” here you will find all of your bipartite graphs.

Under the reports tab you will see all existing reports.

Bipartite reports can be used to prioritize and rank any set of objects within your Knowledge Graph. In this example we will be creating a bipartite report that will prioritize genes that would be suitable targets for glioblastoma.

To create a report you will need to specify the following

• Name

  • Short description of the report

• Description

  • Longer detailed description of the report

• Concept A Value

  • This refers to a specific object associated with the concept

  • Example: The bipartite graph is Disease to Gene and Concept A is Gene we will leave the value for gene blank and select “unbiased”. By selecting “unbiased” the report will take into consideration all possible Genes.

• Concept B Value

  • This refers to a specific object associated with the concept

  • Example: If your bipartite graph is Disease to Gene and Concept B is Disease the value for gene will be Glioblastoma.

• Only 1 concept can be unbiased. The objects associated with the concept that is unbiased will be used for ranking and prioritization within the report.

Report Results

The results will take a few minutes to load. Once complete you can select the report and review all of the objects ranked according to the evidence you have created in your bipartite graph. Each object is provided with a score computed on the basis of weights and formulas associated with each line of evidence

Heatmap Vs Evidence View

Toggle between heatmap and single object view by selecting an individual object.

Use the right and left arrows to quickly browse across the object returned in the search .

Selecting a object will enable you to explore the associated evidence identified across the public and private data within your graph.

Evidence Requirements

The check box next to each line of evidence can be used to make that line of evidence mandatory. For example if the check box next to “Mutation” is selected, only genes that have data to support “Mutation” will be displayed.