Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: 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

Creator: Norris, Richard
Jones, John
Mancini, Erika
Chevassut, Timothy
Simoes, Fabio A.
Pepper, Chris
Pepper, Andrea
Mitchell, Simon

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41408-024-01090-y

URN: urn:nbn:de:101:1-2409231259117.353610617745

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

Last update: 15.08.2025, 7:29 AM CEST

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Norris, Richard
Jones, John
Mancini, Erika
Chevassut, Timothy
Simoes, Fabio A.
Pepper, Chris
Pepper, Andrea
Mitchell, Simon
SpringerLink (Online service)

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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

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Other Objects (12)

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