Hi everyone! I've recently built an R package to visualize single-cell GO over-representation analysis results as gene overlap networks. This helps layout your GO results for celltypes/clusters of interest in a clean way that allows you to identify biological themes / hub genes in a streamlined way. It works with Seurat 4 and 5 and integrates seamlessly with clusterProfiler. Feel free to have a look through the repo/vignette. I'm open to any and all feedback if you think this would be useful for your own analyses! github.com/mikemartinez99/scoranet