HaeunM/TADA-RD: TADA-RD v0.1.0 — Initial Public Release

🎉 TADA-RD v0.1.0 — Initial Release We are pleased to announce the first public release of TADA-RD, a framework for rare disease gene analysis that leverages de novo and inherited variant information under a unified statistical model. This initial release provides a stable, reproducible implementation of the core TADA-RD methodology, including a classifier for distinguishing de novo and inherited variants, and is intended for research use. ✨ Key Features Gene-level inference using de novo and inherited variant information Built-in classifier for distinguishing de novo vs. inherited variants Support for aggregated variant count data (no individual-level genotypes required) Implementation of the core TADA-RD statistical model Example workflows and documentation to get started 📦 What's Included Core TADA-RD implementation Input data format specification Example datasets and demo scripts Basic documentation and usage instructions Reproducible configuration for running analyses 🚧 Known Limitations This is an initial research release (API and interfaces may change) Limited parameter tuning utilities in this version Visualization and downstream analysis tools are minimal 📣 Feedback Issues, bug reports, and feature requests are very welcome via the GitHub Issues page.