The network view shows how different entities are interconnected, providing a holistic view of the relationships within your data. Each node represents an individual entity (e.g., a gene, disease, or drug) and connects with other nodes via edges (lines).
The connected nodes represent relationships or interactions, such as disease-target, gene-gene, or drug-pathway connections (example link) (Figure 1).
Figure 1: The network view when looking for targets and cellular pathways downregulated by acetaminophen and its associated products.
How do I deep dive into the results in the network view?
The network view is interactive, so you can move nodes for better visualization, click on any node to explore all relationships associated with that entity or on a line to explore the supporting literature for a specific relationship.
For the latter, results will be displayed in a side bar view (Figure 2).
Figure 2: The side bar view when clicking in the line that connects acetaminophen with API5 gene.
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.