- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Machine learning-powered antibiotics phenotypic drug discovery ; volume:9 ; number:1 ; day:21 ; month:3 ; year:2019 ; pages:1-14 ; date:12.2019
Scientific reports ; 9, Heft 1 (21.3.2019), 1-14, 12.2019
- Klassifikation
-
Naturwissenschaften
- Urheber
-
Zoffmann, Sannah
Vercruysse, Maarten
Benmansour, Fethallah
Maunz, Andreas
Wolf, Luise
Blum Marti, Rita
Heckel, Tobias
Ding, Haiyuan
Truong, Hoa Hue
Prummer, Michael
Schmucki, Roland
Mason, Clive S.
Bradley, Kenneth
Jacob, Asha Ivy
Lerner, Christian
Araujo del Rosario, Andrea
Burcin, Mark
Amrein, Kurt E.
Prunotto, Marco
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-019-39387-9
- URN
-
urn:nbn:de:101:1-2019040721251467152170
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:57 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Zoffmann, Sannah
- Vercruysse, Maarten
- Benmansour, Fethallah
- Maunz, Andreas
- Wolf, Luise
- Blum Marti, Rita
- Heckel, Tobias
- Ding, Haiyuan
- Truong, Hoa Hue
- Prummer, Michael
- Schmucki, Roland
- Mason, Clive S.
- Bradley, Kenneth
- Jacob, Asha Ivy
- Lerner, Christian
- Araujo del Rosario, Andrea
- Burcin, Mark
- Amrein, Kurt E.
- Prunotto, Marco
- SpringerLink (Online service)
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