This is a personal experiment version of KlugerLab/GeneTrajectory-python, which models state transitions in gene experssion using optimal transport and dimensionality reduction techniques.
I’m using this repo to:
- Understand how the method works
- Run experiments
- Possibly try out modifications
Experiments based on the original tutorial are organized into Google Colab notebooks.
Please refer to the official version here:
The method is described in detail in the article Gene trajectory inference for single-cell data by optimal transport metrics.
This repo includes code from the original GeneTrajectory-Python project, which is licensed under the MIT License.