Environmental properties of cells improve machine learning-based phenotype recognition accuracy
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2045-2322
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Environmental properties of cells improve machine learning-based phenotype recognition accuracy ; volume:8 ; number:1 ; day:4 ; month:7 ; year:2018 ; pages:1-9 ; date:12.2018
Scientific reports ; 8, Heft 1 (4.7.2018), 1-9, 12.2018
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
-
Toth, Timea
- Beteiligte Personen und Organisationen
-
Balassa, Tamas
Bara, Norbert
Kovacs, Ferenc
Kriston, Andras
Molnar, Csaba
Haracska, Lajos
Sukosd, Farkas
Horvath, Peter
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-28482-y
- URN
-
urn:nbn:de:101:1-2018082602335561289710
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
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Beteiligte
- Toth, Timea
- Balassa, Tamas
- Bara, Norbert
- Kovacs, Ferenc
- Kriston, Andras
- Molnar, Csaba
- Haracska, Lajos
- Sukosd, Farkas
- Horvath, Peter
- SpringerLink (Online service)
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