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http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10879| Title: | Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities |
| Authors: | Bauer, Marianne LEELAVATI NARLIKAR et al. Dept. of Data Science |
| Keywords: | Biophysics Computational biology and bioinformatics Mathematics and computing Neuroscience Systems biology 2026-APR-WEEK2 TOC-APR-2026 2026 |
| Issue Date: | Mar-2026 |
| Publisher: | Springer Nature |
| Citation: | npj systems biology and applications, 12, 43. |
| Abstract: | Across biological subdisciplines, the last decade has seen an explosion of high-dimensional datasets. At the ICTS workshop ‘Unifying Theories in High-Dimensional Biophysics’, we discussed whether this high dimensionality poses a challenge or an opportunity for theoretically describing, understanding and predicting biological systems. We discussed methods, models and frameworks that can be used for this purpose. This Comment summarizes our discussions from the perspectives of individual participants |
| URI: | https://doi.org/10.1038/s41540-026-00680-9 http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10879 |
| ISSN: | 2056-7189 |
| Appears in Collections: | JOURNAL ARTICLES |
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