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license: mit |
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# BarcodeMamba for Taxonomic Classification |
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A performant and efficient Mamba-2-based foundation model for DNA barcodes in biodiversity analysis. |
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- Check out our [paper](https://openreview.net/forum?id=6ohFEFTr10) |
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- Check out our [poster](https://neurips.cc/media/PosterPDFs/NeurIPS%202024/105938.png) |
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# Usage |
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The pretrained models can be used for both taxonomic classification on seen species (fine-tune & linear probe) and making genus-level predictions on unseen species (1-NN probe). The instructions for using our models can be found at our [GitHub repository](https://github.com/bioscan-ml/BarcodeMamba). |
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# Citation |
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If you find BarcodeMamba useful, please consider citing: |
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``` |
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@inproceedings{ |
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gao2024barcodemamba, |
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title={BarcodeMamba: State Space Models for Biodiversity Analysis}, |
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author={Tiancheng Gao and Graham W.~Taylor}, |
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booktitle={{NeurIPS} 2024 Workshop on Foundation Models for Science: Progress, Opportunities, and Challenges}, |
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year={2024}, |
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url={https://openreview.net/forum?id=6ohFEFTr10} |
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} |
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``` |
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