TimedHN

This is the Matlab implementation of TimedHN, a time-aware oncogenetic modeling method.

Description of demo scripts

1. The script TimedHN_demo.m is for the inferrence of the hazard network.
   
2. The script pseudo_order_demo.m computes the conditional expectation of progression times using a learned hazard network.
   
3. The script simulation_demo.m is for the generation of synthetic data.
   

A visualization of the accumulation process

TimedHN progress on 7-cube in layered layout. The animation shows the accumulation process of 7 events. The observation probabilities of all $2^7$ possible states are shown in redish gradient color.

Reference

@article{chen2023timed,
  title={Timed hazard networks: Incorporating temporal difference for oncogenetic analysis},
  author={Chen, Jian},
  journal={Plos one},
  volume={18},
  number={3},
  pages={e0283004},
  year={2023},
  publisher={Public Library of Science San Francisco, CA USA}
}