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

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 differen...

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Detalles Bibliográficos
Autores principales: Shi, Mingguang, Xu, Guofu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595612/
https://www.ncbi.nlm.nih.gov/pubmed/31242922
http://dx.doi.org/10.1186/s12920-019-0540-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595612/
https://www.ncbi.nlm.nih.gov/pubmed/31242922
http://dx.doi.org/10.1186/s12920-019-0540-5

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