This repository contains data and saved models associated with our paper:
"JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics"
You can access the data and cached results via the following link:
Please refer to Jade_dlpfc.py and FastJade_dlpfc.py for running JADE and Fast-JADE respectively.
To reproduce the results presented in our paper from scratch, follow these steps:
-
Install Dependencies
- Run the following command to install all necessary packages:
pip install -r requirements.txt
-
Reproducing Results
- Open and run the Jupyter notebook
Axolotl_Brain.ipynbandHuman_DLPFC.ipynbfor step-by-step instructions.
- Open and run the Jupyter notebook
For further details, please refer to the accompanying documentation or contact the authors for support.
Enjoy playing around with JADE!
Guo, Yuanchuan; Jun S. Liu#; Huimin Cheng#; Ying Ma# (2025). “JADE: Joint Alignment and Deep Embedding for Multi-Slice Spatial Transcriptomics.” NeurIPS 2025