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
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)
)
< DLBCL
> fig.2
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Last Update: Jun 04,2022
First display: Feb 24,2021