- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
SVM-SulfoSite: A support vector machine based predictor for sulfenylation sites ; volume:8 ; number:1 ; day:26 ; month:7 ; year:2018 ; pages:1-9 ; date:12.2018
Scientific reports ; 8, Heft 1 (26.7.2018), 1-9, 12.2018
- Classification
-
Biowissenschaften, Biologie
- Creator
-
AL-barakati, Hussam J.
- Contributor
-
McConnell, Evan W.
Hicks, Leslie M.
Poole, Leslie B.
Newman, Robert H.
KC, Dukka B.
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-29126-x
- URN
-
urn:nbn:de:101:1-2018092322315290124531
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:27 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- AL-barakati, Hussam J.
- McConnell, Evan W.
- Hicks, Leslie M.
- Poole, Leslie B.
- Newman, Robert H.
- KC, Dukka B.
- SpringerLink (Online service)
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