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README.md
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---
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language:
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- en
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---
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# scFoundation
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## Overview
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scFoundation is a publicly available single-cell foundation model developed by researchers at BioMap, Tsingua University, and MBZUAI.
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Additional details about model design and performance can be found in [Hao et al. 2024](https://www.nature.com/articles/s41592-024-02305-7).
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The code can be found on the official [GitHub](https://github.com/biomap-research/scFoundation).
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## Usage Examples
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This backbone can be adapted for arbitrary downstream tasks with ModelGenerator - please consult the [documentation](https://genbio-ai.github.io/ModelGenerator/) for more details.
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### Cell Type Classification
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```
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mgen fit --model SequenceClassification --model.backbone scfoundation --data CellClassificationDataModule --data.path <hf_or_local_path_to_your_dataset>
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mgen test --model SequenceClassification --model.backbone scfoundation --data CellClassificationDataModule --data.path <hf_or_local_path_to_your_dataset>
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```
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## Limitations
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* We only include scFoundation's encoder in ModelGenerator. The decoder is disabled.
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## Citation
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```
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@article{hao2024large,
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title={Large-scale foundation model on single-cell transcriptomics},
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author={Hao, Minsheng and Gong, Jing and Zeng, Xin and Liu, Chiming and Guo, Yucheng and Cheng, Xingyi and Wang, Taifeng and Ma, Jianzhu and Zhang, Xuegong and Song, Le},
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journal={Nature methods},
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volume={21},
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number={8},
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pages={1481--1491},
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year={2024},
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publisher={Nature Publishing Group US New York}
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}
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```
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