Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data ; volume:14 ; number:1 ; day:4 ; month:7 ; year:2024 ; pages:1-11 ; date:12.2024
Blood cancer journal ; 14, Heft 1 (4.7.2024), 1-11, 12.2024
- Urheber
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Norris, Richard
Jones, John
Mancini, Erika
Chevassut, Timothy
Simoes, Fabio A.
Pepper, Chris
Pepper, Andrea
Mitchell, Simon
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41408-024-01090-y
- URN
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urn:nbn:de:101:1-2409231259117.353610617745
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:29 MESZ
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Beteiligte
- Norris, Richard
- Jones, John
- Mancini, Erika
- Chevassut, Timothy
- Simoes, Fabio A.
- Pepper, Chris
- Pepper, Andrea
- Mitchell, Simon
- SpringerLink (Online service)
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