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@@ -36,7 +36,18 @@ embs_i = outputs.hidden_states[layer_to_quant]
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  embs = embs_i
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  ```
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- # Citations
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- - A Velez-Arce#, Kexin Huang, Michelle M. Li, Xiang Lin, Wenhao Gao, Tianfan Fu, Manolis Kellis, Bradley L. Pentelute, and Marinka Zitnik.# Signals in the Cells: Multimodal and Contextualized Machine Learning Foundations for Therapeutics. _**bioRxiv**_, 12 Nov 2024. (#co-corresponding authors)
 
 
 
 
 
 
 
 
 
 
 
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  - C V Theodoris#, L Xiao, A Chopra, M D Chaffin, Z R Al Sayed, M C Hill, H Mantineo, E Brydon, Z Zeng, X S Liu, P T Ellinor#. Transfer learning enables predictions in network biology. _**Nature**_, 31 May 2023. (#co-corresponding authors)
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  - H Chen*, M S Venkatesh*, J Gomez Ortega, S V Mahesh, T Nandi, R Madduri, K Pelka†, C V Theodoris†#. Quantized multi-task learning for context-specific representations of gene network dynamics. _**bioRxiv**_, 19 Aug 2024. (*co-first authors, †co-senior authors, #corresponding author)
 
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  embs = embs_i
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  ```
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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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+ # Additional Citations
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  - C V Theodoris#, L Xiao, A Chopra, M D Chaffin, Z R Al Sayed, M C Hill, H Mantineo, E Brydon, Z Zeng, X S Liu, P T Ellinor#. Transfer learning enables predictions in network biology. _**Nature**_, 31 May 2023. (#co-corresponding authors)
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  - H Chen*, M S Venkatesh*, J Gomez Ortega, S V Mahesh, T Nandi, R Madduri, K Pelka†, C V Theodoris†#. Quantized multi-task learning for context-specific representations of gene network dynamics. _**bioRxiv**_, 19 Aug 2024. (*co-first authors, †co-senior authors, #corresponding author)