MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
MASS: predict the global qualities of individual protein models using random forests and novel statistical potentials ; volume:21 ; number:4 ; day:6 ; month:7 ; year:2020 ; pages:1-10 ; date:7.2020
BMC bioinformatics ; 21, Heft 4 (6.7.2020), 1-10, 7.2020
- Urheber
-
Liu, Tong
Wang, Zheng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-020-3383-3
- URN
-
urn:nbn:de:101:1-2020090520251716994409
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Liu, Tong
- Wang, Zheng
- SpringerLink (Online service)
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