Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities
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arXiv
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| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866908704881770496 |
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| author | Bauer, Marianne Goyal, Akshit Goyal, Sidhartha Reddy, Gautam Chakrabarti, Shaon Desai, Michael M Gilpin, William Grilli, Jacopo Husain, Kabir Jain, Sanjay Jolly, Mohit Kumar Kawaguchi, Kyogo Koseska, Aneta Lin, Milo Narlikar, Leelavati Pigolotti, Simone Raju, Archishman Shrinivas, Krishna Siddharthan, Rahul Stephens, Greg J Tiffeau-Mayer, Andreas Vaikuntanathan, Suriyanarayanan |
| author_facet | Bauer, Marianne Goyal, Akshit Goyal, Sidhartha Reddy, Gautam Chakrabarti, Shaon Desai, Michael M Gilpin, William Grilli, Jacopo Husain, Kabir Jain, Sanjay Jolly, Mohit Kumar Kawaguchi, Kyogo Koseska, Aneta Lin, Milo Narlikar, Leelavati Pigolotti, Simone Raju, Archishman Shrinivas, Krishna Siddharthan, Rahul Stephens, Greg J Tiffeau-Mayer, Andreas Vaikuntanathan, Suriyanarayanan |
| contents | Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets, including datasets for cells, species, immune systems, neurons and behaviour. At the ICTS workshop 'Unifying Theories in High-Dimensional Biophysics' we discussed whether this high dimensionality poses a challenge or opportunity for describing, understanding and predicting biological systems theoretically. We discussed methods, models and frameworks that can help with addressing empirical observations based on these high-dimensional datasets. We summarize the challenges and opportunities that emerged in discussions according to individual participants below. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_10111 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities Bauer, Marianne Goyal, Akshit Goyal, Sidhartha Reddy, Gautam Chakrabarti, Shaon Desai, Michael M Gilpin, William Grilli, Jacopo Husain, Kabir Jain, Sanjay Jolly, Mohit Kumar Kawaguchi, Kyogo Koseska, Aneta Lin, Milo Narlikar, Leelavati Pigolotti, Simone Raju, Archishman Shrinivas, Krishna Siddharthan, Rahul Stephens, Greg J Tiffeau-Mayer, Andreas Vaikuntanathan, Suriyanarayanan Biological Physics Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets, including datasets for cells, species, immune systems, neurons and behaviour. At the ICTS workshop 'Unifying Theories in High-Dimensional Biophysics' we discussed whether this high dimensionality poses a challenge or opportunity for describing, understanding and predicting biological systems theoretically. We discussed methods, models and frameworks that can help with addressing empirical observations based on these high-dimensional datasets. We summarize the challenges and opportunities that emerged in discussions according to individual participants below. |
| title | Unifying Theories in High-Dimensional Biology: Approaches, Challenges and Opportunities |
| topic | Biological Physics |
| url | https://arxiv.org/abs/2512.10111 |