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Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction

Jiacheng Lin, Hanwen Xu, Addie Woicik, Jianzhu Ma, Sheng Wang
doi: https://doi.org/10.1101/2022.11.21.517439
Jiacheng Lin
1Department of Automation, Tsinghua University, Beijing, China
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Hanwen Xu
2Paul G. Allen School of Computer Science and Engineering, University of Washington, WA
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Addie Woicik
2Paul G. Allen School of Computer Science and Engineering, University of Washington, WA
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Jianzhu Ma
3Institute for Artificial Intelligence, Peking University, Beijing, China
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Sheng Wang
2Paul G. Allen School of Computer Science and Engineering, University of Washington, WA
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  • For correspondence: swang@cs.washington.edu
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Article Information

doi 
https://doi.org/10.1101/2022.11.21.517439
History 
  • November 22, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.

Author Information

  1. Jiacheng Lin*,1,
  2. Hanwen Xu*,2,
  3. Addie Woicik2,
  4. Jianzhu Ma3 and
  5. Sheng Wang†,2
  1. 1Department of Automation, Tsinghua University, Beijing, China
  2. 2Paul G. Allen School of Computer Science and Engineering, University of Washington, WA
  3. 3Institute for Artificial Intelligence, Peking University, Beijing, China
  1. ↵†Corresponding authors. Emails: swang{at}cs.washington.edu
  1. ↵* Contributed equally

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Posted November 22, 2022.
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Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction
Jiacheng Lin, Hanwen Xu, Addie Woicik, Jianzhu Ma, Sheng Wang
bioRxiv 2022.11.21.517439; doi: https://doi.org/10.1101/2022.11.21.517439
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Pisces: A cross-modal contrastive learning approach to synergistic drug combination prediction
Jiacheng Lin, Hanwen Xu, Addie Woicik, Jianzhu Ma, Sheng Wang
bioRxiv 2022.11.21.517439; doi: https://doi.org/10.1101/2022.11.21.517439

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