KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2041-1723
- 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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KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data ; volume:13 ; number:1 ; day:25 ; month:7 ; year:2022 ; pages:1-16 ; date:12.2022
Nature Communications ; 13, Heft 1 (25.7.2022), 1-16, 12.2022
- Urheber
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Crowl, Sam
Jordan, Ben T.
Ahmed, Hamza
Ma, Cynthia X.
Naegle, Kristen M.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41467-022-32017-5
- URN
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urn:nbn:de:101:1-2022100621361306482125
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Crowl, Sam
- Jordan, Ben T.
- Ahmed, Hamza
- Ma, Cynthia X.
- Naegle, Kristen M.
- SpringerLink (Online service)
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