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scMTG learns generative Markov transitions for single-cell temporal dynamics

Installation

Requiements:  
1. Python 3.8 or later version  
2. Packages:  
    tensorflow-gpu (2.6.0)  
    keras (2.6.0)  
    numpy, pandas
  
Package installation:

pip install git+https://github.com//liuq-lab/scMTG.git
or
pip install scmtg

Tutorial

We provide a quick-start notebook for the training, evaluation and analysis of scMTG.

Citation

Xuejian Cui, Haochen Wang, Zijing Gao, Rui Jiang#, Wing Hung Wong#, Qiao Liu#. scMTG reconstructs single-cell temporal dynamics with Markov transition generators. bioRxiv, (2026).https://doi.org/10.64898/2026.06.04.730241

Contact

If you have any questions, you can contact me from the email: cuixj19@tsinghua.org.cn