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

tab1a-1d
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

tab1a-1d
(Cytometry Part A 59A:232-236(2004) with reanalysis of data from: NEJM 346:1937-1947(2002))



© 2022 G.Valet
INTERNET: https://www.classimed.de
Last Update: Jun 04,2022
First display: Feb 24,2021