RefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2105
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
RefCell: multi-dimensional analysis of image-based high-throughput screens based on ‘typical cells’ ; volume:19 ; number:1 ; day:16 ; month:11 ; year:2018 ; pages:1-12 ; date:12.2018
BMC bioinformatics ; 19, Heft 1 (16.11.2018), 1-12, 12.2018
- Klassifikation
-
Biowissenschaften, Biologie
- Urheber
-
Shen, Yang
Kubben, Nard
Candia, Julián
Morozov, Alexandre V.
Misteli, Tom
Losert, Wolfgang
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12859-018-2454-1
- URN
-
urn:nbn:de:101:1-2019010102242984153351
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:48 MESZ
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Beteiligte
- Shen, Yang
- Kubben, Nard
- Candia, Julián
- Morozov, Alexandre V.
- Misteli, Tom
- Losert, Wolfgang
- SpringerLink (Online service)
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