Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2399-3642
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations ; volume:4 ; number:1 ; day:12 ; month:1 ; year:2021 ; pages:1-11 ; date:12.2021
Communications biology ; 4, Heft 1 (12.1.2021), 1-11, 12.2021
- Urheber
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Panyard, Daniel J.
Kim, Kyeong Mo
Darst, Burcu F.
Deming, Yuetiva K.
Zhong, Xiaoyuan
Wu, Yuchang
Kang, Hyunseung
Carlsson, Cynthia M.
Johnson, Sterling C.
Asthana, Sanjay
Engelman, Corinne D.
Lu, Qiongshi
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s42003-020-01583-z
- URN
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urn:nbn:de:101:1-2021020723134771850180
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:36 MESZ
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Beteiligte
- Panyard, Daniel J.
- Kim, Kyeong Mo
- Darst, Burcu F.
- Deming, Yuetiva K.
- Zhong, Xiaoyuan
- Wu, Yuchang
- Kang, Hyunseung
- Carlsson, Cynthia M.
- Johnson, Sterling C.
- Asthana, Sanjay
- Engelman, Corinne D.
- Lu, Qiongshi
- SpringerLink (Online service)
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