Opens a Shiny application that compares SONG, t-SNE, and UMAP visualizations side-by-side on user-supplied or example data. The app features a dark mode toggle (persisted via localStorage), uses the viridis plasma color scale for all plots, and supports uploading custom CSV/RDS data, tuning SONG hyperparameters, running incremental updates, and exporting embeddings.
References
Senanayake, D. A., Wang, W., Naik, S. H., & Halgamuge, S. (2021). Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization. IEEE Transactions on Neural Networks and Learning Systems, 32(10), 4588–4602. doi:10.1109/TNNLS.2020.3023941
Examples
if (interactive()) {
run_songR_app()
}