Digital Repository

Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities

Show simple item record

dc.contributor.author Bauer, Marianne en_US
dc.contributor.author LEELAVATI NARLIKAR et al. en_US
dc.date.accessioned 2026-04-17T11:11:51Z
dc.date.available 2026-04-17T11:11:51Z
dc.date.issued 2026-03 en_US
dc.identifier.citation npj systems biology and applications, 12, 43. en_US
dc.identifier.issn 2056-7189 en_US
dc.identifier.uri https://doi.org/10.1038/s41540-026-00680-9 en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/10879
dc.description.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 en_US
dc.language.iso en en_US
dc.publisher Springer Nature en_US
dc.subject Biophysics en_US
dc.subject Computational biology and bioinformatics en_US
dc.subject Mathematics and computing en_US
dc.subject Neuroscience en_US
dc.subject Systems biology en_US
dc.subject 2026-APR-WEEK2 en_US
dc.subject TOC-APR-2026 en_US
dc.subject 2026 en_US
dc.title Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities en_US
dc.type Article en_US
dc.contributor.department Dept. of Data Science en_US
dc.identifier.sourcetitle npj systems biology and applications en_US
dc.publication.originofpublisher Foreign en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search Repository


Advanced Search

Browse

My Account