Adds bioRxiv preprint reference and citation
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README.md
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<!-- Provide the basic links for the model. -->
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- **Code:** [BlueSTARR](https://github.com/Duke-IGVF/BlueSTARR)
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- **Paper:**
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<!--- **Demo:** [More Information Needed--encouraged] -->
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### Out-of-Scope Use
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## Citation
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<!-- If there is a paper introducing the model, the Bibtex information for that should go in this section.
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See notes at top of file about selecting a license.
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If you choose CC0: This model is dedicated to the public domain for the benefit of scientific pursuits. We ask that you cite the model and journal paper using the below citations if you make use of it in your research.
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-->
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**BibTeX:**
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year = {<year>},
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url = {https://huggingface.co/imageomics/<model_name>}
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}
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```
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-for an associated paper:
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**Paper**
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```
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@article{<ref_code>,
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title = {<title>},
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author = {<author1 and author2>},
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journal = {<journal_name>},
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year = <year>,
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url = {<DOI_URL>},
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doi = {<DOI>}
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}
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```
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-->
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## Acknowledgements
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<!-- Provide the basic links for the model. -->
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- **Code:** [BlueSTARR](https://github.com/Duke-IGVF/BlueSTARR)
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- **Paper:** Revathy Venukuttan, Richard Doty, Alexander Thomson, Yutian Chen, Boyao Li, Yuncheng Duan, Alejandro Barrera, Katherine Dura, Kuei-Yueh Ko, Hilmar Lapp, Timothy E Reddy, Andrew S Allen, William H Majoros (2026). Modeling gene regulatory perturbations via deep learning from high-throughput reporter assays. bioRxiv 2026.03.27.714770; doi: https://doi.org/10.64898/2026.03.27.714770
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<!--- **Demo:** [More Information Needed--encouraged] -->
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### Out-of-Scope Use
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## Citation
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<!-- If there is a paper introducing the model, the Bibtex information for that should go in this section. -->
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**BibTeX:**
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If you use our model in your work, please cite the associated paper:
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```
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@article {Venukuttan2026.03,
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author = {Venukuttan, Revathy and Doty, Richard and Thomson, Alexander and Chen, Yutian and Li, Boyao and Duan, Yuncheng and Barrera, Alejandro and Dura, Katherine and Ko, Kuei-Yueh and Lapp, Hilmar and Reddy, Timothy E and Allen, Andrew S and Majoros, William H},
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title = {Modeling gene regulatory perturbations via deep learning from high-throughput reporter assays},
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elocation-id = {2026.03.27.714770},
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year = {2026},
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doi = {10.64898/2026.03.27.714770},
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publisher = {Cold Spring Harbor Laboratory},
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URL = {https://www.biorxiv.org/content/early/2026/03/31/2026.03.27.714770},
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eprint = {https://www.biorxiv.org/content/early/2026/03/31/2026.03.27.714770.full.pdf},
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journal = {bioRxiv}
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}
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```
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## Acknowledgements
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