arXiv - QuanBio - Quantitative Methods

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arXiv - QuanBio - Quantitative Methods - 最新文献

How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities

Pub Date : 2024-09-18 DOI: arxiv-2409.11654 Charlotte Bunne, Yusuf Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicholas J. Sofroniew, Fabian Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake

Automating proton PBS treatment planning for head and neck cancers using policy gradient-based deep reinforcement learning

Pub Date : 2024-09-17 DOI: arxiv-2409.11576 Qingqing Wang, Chang Chang

Active learning for energy-based antibody optimization and enhanced screening

Pub Date : 2024-09-17 DOI: arxiv-2409.10964 Kairi Furui, Masahito Ohue

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