Datasets:
ArXiv:
License:
| license: mit | |
| The dataset scLibrary is the pre-training dataset used by the LangCell model. | |
| You can use `git-lfs` to download `sclibrary.dataset` from this repository, and then use the following code to load the data: | |
| ```python | |
| from datasets import load_from_disk | |
| sclibrary=load_from_disk("/path/to/sclibrary.dataset") | |
| ``` | |
| Model github: https://github.com/PharMolix/LangCell | |
| Paper: https://arxiv.org/abs/2405.06708 | |
| # Citation | |
| If you find scLibrary helpful to your research, please consider giving our [Github repository](https://github.com/PharMolix/LangCell) a 🌟star and 📎citing the following article. Thank you for your support! | |
| ``` | |
| @misc{zhao2024langcell, | |
| title={LangCell: Language-Cell Pre-training for Cell Identity Understanding}, | |
| author={Suyuan Zhao and Jiahuan Zhang and Yizhen Luo and Yushuai Wu and Zaiqing Nie}, | |
| year={2024}, | |
| eprint={2405.06708}, | |
| archivePrefix={arXiv}, | |
| primaryClass={q-bio.GN} | |
| } | |
| ``` |