KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2041-1723

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: 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

Creator: Crowl, Sam
Jordan, Ben T.
Ahmed, Hamza
Ma, Cynthia X.
Naegle, Kristen M.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41467-022-32017-5

URN: urn:nbn:de:101:1-2022100621361306482125

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Crowl, Sam
Jordan, Ben T.
Ahmed, Hamza
Ma, Cynthia X.
Naegle, Kristen M.
SpringerLink (Online service)

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KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data

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Other Objects (12)

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