RingNet is a tool for visualizing multimodal data in networks. It supports the creation of networks with one or more data sets. In addition to the general template, we provide templates for visualizing gene-gene interaction networks,patient similarity networks, and single-cell networks. You can find more information about preparing the CSV files for visualization in the tutorials. If you already have a JSON file generated by RingNet, you can use it directly for visualization without rerunning the program.
To ensure a clean and readable network, the current limit on the number of nodes is 100. If your network exceeds this limit, the frontend will select the top 100 features (e.g., genes with the highest average expression levels) for visualization. Therefore, we recommend that users predefine their network with 100 nodes. Additionally, you can use the Sample Group to divide your large network into multiple subnetworks, which can be visualized separately in the frontend. In the top left of the user interface, you can select the subnetworks to visualize.
For any bug or feedback, please contact us via RingNet's github repository https://github.com/laixn/RingNet.
For more information about RingNet, you can find it in the BioRxiv preprint (https://doi.org/10.64898/2026.01.20.700593).