Clinically relevant data patterns for DLBCL outcome predictions

Pretherapeutic Identification of High Risk DLBCL Patients

< DLBCL
= external links

fig.1: Data sieving on RNA Expression Arrays > fig.2

CLASSIF1 on data Grau et al 2019

The discriminatory CLASSIF1 analysis of the primary chipspot parameter data values (a,b) provides better results than the analysis of gene signatures (c,d) obtained by multidimensional correlation maximization from the same experimental data ( external link

Nat Comm 10:5417(2019))

CLASSIF1 on data Rosenwald et al 2002

Reanalyis (Cytometry Part A 59A:232-236(2004) of data from: external link

NEJM 346:1937-1947(2002))

< DLBCL > fig.2

INTERNET: https://www.classimed.de
Last Update: Feb 16,2025
First display: Feb 24,2021

Clinically relevant data patterns for DLBCL outcome predictions

Pretherapeutic Identification of High Risk DLBCL Patients

fig.1: Data sieving on RNA Expression Arrays > fig.2

CLASSIF1 on data Grau et al 2019

CLASSIF1 on data Rosenwald et al 2002

< DLBCL > fig.2