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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| Main Authors: | , |
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| Format: | Book |
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BMC,
2019-06-01T00:00:00Z.
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Internet
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| Call Number: |
A1234.567 |
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| Copy 1 | Available |