Causaly utilizes multiple ontologies to translate your query to scientific terms. The system machine reads over 40 million documents, extracts the relationships that are relevant to your question and represents them in the form of a dendrogram. The results by default are sorted by document count. Use this guide to learn more about Causaly’s ontologies.
Instead of manually reading hundreds of documents, all relevant entities such as targets, biomarkers etc are extracted as causal relationships and are displayed in the knowledge graph for you, organized in different categories (example link) (Figure 1).
Figure 1: The dendrogram view when looking for drugs inhibited by PDL1.
How do I deep dive into the results in the dendrogram view?
The dendrogram view is interactive, so you can click on any node to explore all relationships associated with that entity. To deep dive into a specific relationship of interest, you can click on the result to access the supporting literature behind it in the side bar (Figure 2).
Figure 2: The side bar view when clicking on the atezolizumab bubble.
How can I refine and prioritize my results?
Causaly offers a range of filters, visualizations, and sorting options that allow you to prioritize results based on various criteria such as animal models, novelty, and study types. For more information on how to use the search filters please visit this guide.
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