Gene exprssion profile classification predicts clinical outcome in juvenile myelomonocytic leukemia

ABSTRACT: Gene expression analysis identified a specific signature of differentially expressed genes discriminating good and poor responders in JMML patients. Gene expression signatures were analyzed on two EWOG patient cohorts of pediatric JMML patients. Keywords: Expression data Class comparison between AML-like vs non-AML-like signatures in JMML patients.

ORGANISM(S): Homo sapiens

SUBMITTER: Andrea Zangrando 

PROVIDER: E-GEOD-14858 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress