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| Format: | Preprint |
| Published: |
2026
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| Online Access: | https://arxiv.org/abs/2603.17264 |
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| _version_ | 1866910057688465408 |
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| author | Kaneko, Kunihiko |
| author_facet | Kaneko, Kunihiko |
| contents | Biological systems are generally complicated and/or complex. In the former approach, one sets up a model with a large number of parameters to describe the system in detail. The latter approach focuses on understanding the universal aspects of biological systems. In this case, an appropriate simple model represents a universality class. The extraction of universal properties is supported by evolutionary robustness and the reduction of dimensionality in high-dimensional states. Integrating the data-driven omics approach with the universality approach is an important step in systems biology. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_17264 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Complex versus Complicated Systems Biology, Universality versus Detailed Modelling Kaneko, Kunihiko Biological Physics Biological systems are generally complicated and/or complex. In the former approach, one sets up a model with a large number of parameters to describe the system in detail. The latter approach focuses on understanding the universal aspects of biological systems. In this case, an appropriate simple model represents a universality class. The extraction of universal properties is supported by evolutionary robustness and the reduction of dimensionality in high-dimensional states. Integrating the data-driven omics approach with the universality approach is an important step in systems biology. |
| title | Complex versus Complicated Systems Biology, Universality versus Detailed Modelling |
| topic | Biological Physics |
| url | https://arxiv.org/abs/2603.17264 |