Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2399-3642
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
-
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
- Creator
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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
- Contributor
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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
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- 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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