高维生物学中的统一理论：方法、挑战与机遇
生物物理
2025-12-12 v1
摘要
在生物学的各个子学科中，过去十年见证了高维数据集的爆炸式增长，包括细胞、物种、免疫系统、神经元和行为的数据集。在 ICTS “高维生物物理学中的统一理论”研讨会上，我们讨论了这种高维度对于在理论上描述、理解和预测生物系统究竟是挑战还是机遇。我们讨论了有助于基于这些高维数据集解决经验观察的方法、模型和框架。下面我们根据与会者的个人发言，总结了讨论中涌现的挑战与机遇。
引用
@article{arxiv.2512.10111,
title = {Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities},
author = {Marianne Bauer and Akshit Goyal and Sidhartha Goyal and Gautam Reddy and Shaon Chakrabarti and Michael M Desai and William Gilpin and Jacopo Grilli and Kabir Husain and Sanjay Jain and Mohit Kumar Jolly and Kyogo Kawaguchi and Aneta Koseska and Milo Lin and Leelavati Narlikar and Simone Pigolotti and Archishman Raju and Krishna Shrinivas and Rahul Siddharthan and Greg J Stephens and Andreas Tiffeau-Mayer and Suriyanarayanan Vaikuntanathan},
journal= {arXiv preprint arXiv:2512.10111},
year = {2025}
}