Environmental properties of cells improve machine learning-based phenotype recognition accuracy

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2045-2322

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Classification: Biowissenschaften, Biologie

Creator: Toth, Timea

Contributor: 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

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:28 AM CEST

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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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Environmental properties of cells improve machine learning-based phenotype recognition accuracy

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