CircosHeatmap-aardio is a circular heatmap (Circos Heatmap) visualization tool based on R language. It supports clustering and visualization of matrix data. Through the Aardio graphical interface, users can easily use the tool without writing any code.

✨ Core Features

Circular Heatmap Visualization: Based on R's circlize and ComplexHeatmap packages, it supports clustering and visualization of matrix data.
Graphical Interface: Implemented with Aardio, allowing users to select input files, set parameters, and run scripts through the interface.
Code Visualization and Debugging: Built-in R code editor for viewing and modifying the current R script.
Log Output: Provides a log window to display script execution results and error messages.

🚀 Quick Start

1. Download and Extract

Download and extract CircosHeatmap-aardio from Releases.

2. Run the Program

Run CircosHeatmap-aardio.exe. The R environment will be automatically installed on the first run.

3. Select Data Source

Click "Data Source" to select a csv file.

Note

: Currently, only csv format is supported. If your data is in other formats (e.g., xls, xlsx), convert it to csv before use.

4. Generate PDF

Click "Generate PDF" to select the save location.

🛠️ Program Details

Interface Layout

R Code Editor: Displays the current R script for viewing and modification.
Log Window: Shows script execution results and error messages in real-time.
Data Source Selection: Select input files via button (supports csv format).
Generate PDF: Run the R script and save the generated circular heatmap as a PDF file.

Code Logic

R Script Loading: The default R script (heatmap_script.R) is loaded on program startup.
File Selection: Click "Data Source" to select an input file, and the path is displayed in the input box.
Script Execution: Click "Generate PDF" to execute the R script with the input file path and output PDF path.

📝 TODO

UI Improvements: Enhance user interaction and experience.
Support More File Formats: Extend support for xls, xlsx, etc.
Advanced Features: Add features like custom color gradients and clustering parameter adjustments.

✨ Contributions

Contributions, suggestions, bug reports, and fixes are welcome! If you have any ideas or questions, please submit an Issue or Pull Request.