Quantitative reproducibility analysis for identifying reproducible targets from high-throughput experiments
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1752-0509
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Quantitative reproducibility analysis for identifying reproducible targets from high-throughput experiments ; volume:11 ; number:1 ; day:11 ; month:8 ; year:2017 ; pages:1-7 ; date:12.2017
BMC systems biology ; 11, Heft 1 (11.8.2017), 1-7, 12.2017
- Klassifikation
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Biowissenschaften, Biologie
- Urheber
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Zhang, Wenfei
- Beteiligte Personen und Organisationen
-
Liu, Ying
Zhang, Mindy
Zhu, Cheng
Lu, Yuefeng
SpringerLink (Online service)
- DOI
-
10.1186/s12918-017-0444-y
- URN
-
urn:nbn:de:1111-201710278724
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:32 MESZ
Datenpartner
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Beteiligte
- Zhang, Wenfei
- Liu, Ying
- Zhang, Mindy
- Zhu, Cheng
- Lu, Yuefeng
- SpringerLink (Online service)
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