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Gene exprssion profile classification predicts clinical outcome in juvenile myelomonocytic leukemia

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NIAID Data Ecosystem2026-03-11 收录
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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.

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2019-03-25
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