A torch-based integration method for single-cell multi-omic data.
Project description
MIDAS: a deep generative model for mosaic integration and knowledge transfer of single-cell multimodal data.
MIDAS is a deep generative model designed for mosaic integration, facilitating the integration of RNA, ADT, and ATAC data across batches.
Read our documentation at https://scmidas.readthedocs.io/en/latest/. We provide tutorials in the documentation.
Installation
conda create -n scmidas
conda activate scmidas
conda install python=3.8
pip install scmidas
Other packages (Optional):
pip install ipykernel jupyter scanpy
Reproducibility
Refer to https://github.com/labomics/midas/tree/reproducibility.
Citation
If you use MIDAS in your work, please cite the midas publication as follows:
He, Z., Hu, S., Chen, Y. et al. Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS. Nat Biotechnol (2024). https://doi.org/10.1038/s41587-023-02040-y
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