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@@ -34,6 +34,18 @@ embeds = pinnacle.get_embeds()
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  We share here also code used to benchmark PINNACLE on the TDC.scDTI task.
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  https://colab.research.google.com/drive/14WeNbDNyDi_45hFayBMtt2MBOvhyRRvy?usp=sharing
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  ## References
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  * Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/multi_pred_tasks/scdti/
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  * Li, Michelle, et al. “Contextual AI models for single-cell protein biology” Nature Methods (2024)
 
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  We share here also code used to benchmark PINNACLE on the TDC.scDTI task.
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  https://colab.research.google.com/drive/14WeNbDNyDi_45hFayBMtt2MBOvhyRRvy?usp=sharing
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+ ## TDC Citation
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+ ```
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+ @inproceedings{
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+ velez-arce2024signals,
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+ title={Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics},
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+ author={Alejandro Velez-Arce and Kexin Huang and Michelle M Li and Xiang Lin and Wenhao Gao and Bradley Pentelute and Tianfan Fu and Manolis Kellis and Marinka Zitnik},
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+ booktitle={NeurIPS 2024 Workshop on AI for New Drug Modalities},
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+ year={2024},
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+ url={https://openreview.net/forum?id=kL8dlYp6IM}
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+ }
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+ ```
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+
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  ## References
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  * Dataset entry in Therapeutics Data Commons, https://tdcommons.ai/multi_pred_tasks/scdti/
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  * Li, Michelle, et al. “Contextual AI models for single-cell protein biology” Nature Methods (2024)