Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia

Abstract Background Acute myeloid leukemia (AML) is a disease with marked molecular heterogeneity and a high early death rate. Our aim was to investigate an integrated Gene expression, Mirna and miRNA-mRNA Interactions (GMI) signature for improving risk stratification of AML. Methods We identified d...

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Hauptverfasser: Mingguang Shi (Verfasst von), Guofu Xu (Verfasst von)
Format: Buch
Veröffentlicht: BMC, 2019-06-01T00:00:00Z.
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