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+ ---
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+ language:
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+ - en
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+ ---
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+
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+ # scFoundation
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+
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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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+
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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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+
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+ The code can be found on the official [GitHub](https://github.com/biomap-research/scFoundation).
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+
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+ ## Usage Examples
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+
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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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+
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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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+
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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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+
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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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+ ```