README.md
April 3, 2026 ยท View on GitHub
CellDyc - Experimental Time Points Guided Transcriptomic Velocity Inference
CellDyc is a novel semi-supervised learning framework designed to reconstruct transcriptomic velocities and recover an intrinsic gene-embedded time by leveraging experimental time-point supervision.
Key Highlights
- Data-driven velocity inference: Robust, data-centric reconstruction of transcriptomic velocities.
- Intrinsic time recovery: Recovers intrinsic gene-embedded time directly from transcriptomic profiles.
- Flexible supervision: Handles sparse and noisy experimental time-point supervision.
- Seamless integration: Designed to work with existing computational biology tools and workflows.
Documentation
Installation guide, API reference, and tutorials are available at: