Version History
This page documents all notable changes to HeartMAP, including new features, bug fixes, and breaking changes.HeartMAP follows Semantic Versioning: MAJOR.MINOR.PATCH
- MAJOR: Incompatible API changes
- MINOR: New functionality (backwards-compatible)
- PATCH: Bug fixes (backwards-compatible)
[2.0.2] - 2025-11-08
Changes
- Merged updates from master branch
- Synchronized repository state
- Minor documentation updates
Technical Details
- Branch: Merged
masterbranch updates - Type: Maintenance release
[2.0.1] - 2025-11-08
Fixed
- Pipeline fixes: Resolved issues in analysis pipelines
- Improved pipeline stability and error handling
- Enhanced pipeline execution flow
Changes
- Internal pipeline improvements
- Code quality enhancements
- Better error messages for pipeline failures
[2.0.0] - 2025 (Initial Publication Release)
This is the initial production release of HeartMAP, published alongside the paper in Computational and Structural Biotechnology Journal.
Major Features
Core Functionality
- Multi-chamber analysis: Complete support for all four cardiac chambers (RA, RV, LA, LV)
- Cell-cell communication: Integrated LIANA for ligand-receptor interaction analysis
- Multiple interfaces: CLI, Python API, REST API, and Gradio web interface
- Production-ready: Fully tested and deployed on PyPI
Analysis Pipelines
Basic Pipeline
Basic Pipeline
- Quality control and filtering
- Data normalization and scaling
- Cell type annotation
- Clustering (Leiden/Louvain)
- Basic visualizations (UMAP, t-SNE)
Communication Pipeline
Communication Pipeline
- Ligand-receptor interaction analysis
- Communication hub identification
- Pathway enrichment analysis
- Network topology analysis
- Communication network visualization
Multi-Chamber Pipeline
Multi-Chamber Pipeline
- Chamber-specific marker identification
- Cross-chamber correlation analysis
- Comparative chamber analysis
- Chamber distribution analysis
- Chamber-specific visualizations
Comprehensive Pipeline
Comprehensive Pipeline
- Integrated analysis of all components
- Advanced multi-panel visualizations
- Automated comprehensive reports
- Model persistence and reuse
Configuration System
- YAML-based configuration files
- Memory optimization settings
- Customizable analysis parameters
- Environment-aware defaults
Data Management
- AnnData (.h5ad) format support
- SHA-256 checksums for data integrity
- Fixed random seeds for reproducibility
- Configurable data subsetting
Deployment Options
- PyPI package:
pip install heartmap - Docker containers: Single and multi-service
- Cloud platforms: AWS, GCP, Azure support
- Hugging Face Spaces: Public web interface
Scientific Validation
Validated Dataset
- Total cells: 287,269 from human hearts
- Donors: 7 healthy individuals
- Source: Single Cell Portal SCP498
- Chambers: Complete coverage of RA, RV, LA, LV
Key Findings
- Identified chamber-specific cell populations
- Discovered chamber-specific communication networks
- Found therapeutic targets for chamber-specific interventions
- Established cross-chamber correlation patterns
Performance
| Configuration | Dataset Size | Memory | Runtime | Status |
|---|---|---|---|---|
| Minimal | 10K cells | 8GB | 5-10 min | ✓ Tested |
| Recommended | 30K cells | 16GB | 15-20 min | ✓ Tested |
| Optimal | 50K cells | 32GB | 25-30 min | ✓ Tested |
| Production | 100K+ cells | 64GB+ | 45-60 min | ✓ Tested |
Documentation
- Complete user guide
- API documentation
- Tutorial notebooks
- Example scripts
- Deployment guides
Testing
- Comprehensive test suite
- Validation scripts
- Mock data generation
- Performance benchmarks
Pre-release Development
Beta Phase (2024-2025)
- Internal testing and validation
- Method development and optimization
- Scientific validation on SCP498 dataset
- Performance optimization
- Documentation development
Alpha Phase (2023-2024)
- Initial implementation
- Core algorithm development
- Pipeline architecture design
- Proof of concept validation
Future Roadmap
Planned Features
v2.1.0
Next Minor Release
- Enhanced visualization options
- Additional cell type markers
- Performance improvements
- Extended species support
v2.2.0
Future Enhancements
- Spatial transcriptomics integration
- Trajectory analysis
- Batch effect correction
- Interactive visualizations
v3.0.0
Major Update (Future)
- Multi-modal data integration
- Deep learning models
- Real-time analysis
- Cloud-native architecture
Community
Ongoing
- Community contributions
- Bug fixes
- Documentation improvements
- Tutorial expansion
Research Integration
- Integration with emerging single-cell technologies
- Support for new interaction databases
- Advanced statistical methods
- Machine learning enhancements
Release Notes Format
Each release includes:- Added: New features and capabilities
- Changed: Changes to existing functionality
- Deprecated: Features to be removed in future versions
- Removed: Removed features
- Fixed: Bug fixes
- Security: Security patches and improvements
Getting Updates
Check Current Version
Update to Latest Version
Check for Updates
Development Version
Version Support
Contributing to Releases
Help shape future releases:- Report bugs: Open issues on GitHub
- Request features: Start a discussion
- Submit patches: Create pull requests
- Test pre-releases: Try beta versions and provide feedback
Release Notifications
Stay informed about new releases:- GitHub Releases: Watch the repository for notifications
- GitHub Discussions: Announcements posted in discussions
- PyPI: Check the HeartMAP PyPI page