v1.0.0-alpha

We introduce the first release of the bioRSP tool for advanced spatial gene expression analysis using Radar Scanning Plots (RSP). This alpha version lays the foundation for performing key functionalities such as foreground and background cell detection, polar coordinate conversions, and RSP analysis. Users can now define custom thresholds, scanning windows, and resolutions. Additionally, we added validation checks for input consistency, such as ensuring matching dimensions between DBSCAN labels and t-SNE/UMAP embeddings and gene presence checks in the dataset. Finally, this alpha version includes improved error messaging and secure handling of data processing steps to ensure reliability during gene expression analysis.

The current version may experience performance limitations with extremely large datasets. Future releases will focus on optimizing memory usage and computational efficiency. Additionally, basic visualization is implemented, but advanced plotting features (e.g., cluster-specific RSP overlays) will be added in subsequent releases. In the upcoming beta releases, we plan to add support for multi-threaded execution to improve performance for large datasets. We also plan to add integration with advanced plotting libraries (e.g., Plotly) for interactive and more detailed spatial visualizations and support for other clustering methods (e.g., HDBSCAN) to improve the flexibility and accuracy of spatial clustering.

Full Changelog: https://github.com/alphamind-club/biorsp/commits/v1.0.0-alpha