Classimed logo

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

High risk DLBCL patients are better identified by discriminatory (a,b) than by correlatve gene signatures (c,d) obtained by multidimensional correlation maximization (reanalysis of data from: Nat Comm 10:5417(2019)).

CLASSIF1 on data Rosenwald et al 2002

(Cytometry Part A 59A:232-236(2004) with reanalysis of data from: NEJM 346:1937-1947(2002))

© 2022 G.Valet
Last Update: Jun 04,2022
First display: Feb 24,2021