nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data ; volume:20 ; number:1 ; day:10 ; month:9 ; year:2019 ; pages:1-9 ; date:12.2019
BMC bioinformatics ; 20, Heft 1 (10.9.2019), 1-9, 12.2019
- Creator
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Müller, Paul
Abuhattum, Shada
Möllmert, Stephanie
Ulbricht, Elke
Taubenberger, Anna V.
Guck, Jochen
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12859-019-3010-3
- URN
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urn:nbn:de:101:1-2020012501050630984407
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:49 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Müller, Paul
- Abuhattum, Shada
- Möllmert, Stephanie
- Ulbricht, Elke
- Taubenberger, Anna V.
- Guck, Jochen
- SpringerLink (Online service)