Development and validation of GMI signature based random survival forest prognosis model to predict clinical outcome in acute myeloid leukemia
Author:
Funder
the National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Genetics
Link
http://link.springer.com/content/pdf/10.1186/s12920-019-0540-5.pdf
Reference66 articles.
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3. Tawana K, Wang J, Renneville A, et al. Disease evolution and outcomes in familial AML with germline CEBPA mutations. Blood. 2015;126:1214.
4. Fröhling S, Schlenk RF, Breitruck J, et al. Prognostic significance of activating FLT3 mutations in younger adults (16 to 60 years) with acute myeloid leukemia and normal cytogenetics: a study of the AML Study Group Ulm. Blood. 2002;100:4372–80.
5. Thiede C, Koch S, Creutzig E, et al. Prevalence and prognostic impact of NPM1 mutations in 1485 adult patients with acute myeloid leukemia (AML). Blood. 2006;107:4011.
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