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Article: Modelling, inference and big data in biophysics

TitleModelling, inference and big data in biophysics
Authors
Issue Date2017
Citation
Biophysical Reviews, 2017, v. 9, n. 4, p. 297-298 How to Cite?
Abstract© 2017, International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany. In recognition of the increasing importance of big data in biophysics, a new session called ‘Modelling, inference, big data’ is incorporated into the IUPAB/EBSA Congress on 18 July 2017 at Edinburgh, UK.
Persistent Identifierhttp://hdl.handle.net/10722/262764
ISSN
2023 Impact Factor: 4.9
2023 SCImago Journal Rankings: 1.145

 

DC FieldValueLanguage
dc.contributor.authorHo, Joshua W.K.-
dc.contributor.authorGrant, Guy H.-
dc.date.accessioned2018-10-08T02:46:58Z-
dc.date.available2018-10-08T02:46:58Z-
dc.date.issued2017-
dc.identifier.citationBiophysical Reviews, 2017, v. 9, n. 4, p. 297-298-
dc.identifier.issn1867-2450-
dc.identifier.urihttp://hdl.handle.net/10722/262764-
dc.description.abstract© 2017, International Union for Pure and Applied Biophysics (IUPAB) and Springer-Verlag GmbH Germany. In recognition of the increasing importance of big data in biophysics, a new session called ‘Modelling, inference, big data’ is incorporated into the IUPAB/EBSA Congress on 18 July 2017 at Edinburgh, UK.-
dc.languageeng-
dc.relation.ispartofBiophysical Reviews-
dc.titleModelling, inference and big data in biophysics-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/s12551-017-0282-6-
dc.identifier.scopuseid_2-s2.0-85028635614-
dc.identifier.volume9-
dc.identifier.issue4-
dc.identifier.spage297-
dc.identifier.epage298-
dc.identifier.eissn1867-2469-
dc.identifier.issnl1867-2450-

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